cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kyppvv5pkm.1
title: Anxiety and higth depression in social work students

description: For its application, the Microsoft 365® Forms platform was used, following the parameters of the test through the voluntary self-report of each participant. A non-probabilistic sample criterion was used, for convenience, with the voluntary participation of undergraduate and graduate students from the School of Social Work, Industrial University of Santander, Colombia, achieving a total of 160 effective applications. Five composition variables are included: year of application, level of education, sex, health status and economic situation in the last month. These variables serve as a resource for the significance tests of the results of both scales. The processing of the information was carried out by validating the data once the criticism of the information was made from an Excel format, migrating the results to a statistical software (IBM-SPSS®). For the final qualification of the levels of anxiety and depression, the cut-off points established in the literature of validation of the scales were used (Campo-Arias, Díaz-Martínez, Rueda-Jaimes, & Barros Bermúdez, 2005), which allow evaluating the level in an ordinal variable: Within normal, minimum, moderate and extreme. The participants were previously informed of both the academic exercise and the global analysis of the results without compromising identity, accepting informed consent. In addition, individual results were delivered when participants requested it, complying with the basic ethical aspects of the research. The Zung scale consists of a questionnaire of 20 items on an ordinal scale from Never or Rarely, Sometimes, Many Times and Almost Always or Always and the rating of the response depends on the positive or negative sense of the item. Anxiety questions cover a wide variety of expressions of emotional disorders. In the case of the Depression scale, which is rated in a similar way, it refers to a set of symptoms that take place in the affective field of the subject and can reduce their interaction and social participation, being delicate markers of mental health.
DOI: 10.17632/r2k54rr5p2.1
title: Hydraulic conductivity measurements of aquitard sediments in the Netherlands

description: Hydrogeological dataset for sediment samples, including hydraulic conductivity, grain size distribution, organic carbon content, carbonate content, estimated chloride concentration and geological and sedimentological information. Excerpt from TOPINTEGRAAL dataset from June 1, 2023, complemented with additional parameters related to the samples. This dataset is used for van Leer, M.D., Zaadnoordijk, W.J., Zech, A., Buma, J., Harting, R., Bierkens, M.F.P., & Griffioen, J. (2023) [Submitted for publication]. An overview of the methodology used to produce this dataset can be found in the paper.
DOI: 10.6084/m9.figshare.23819373
title: Data Availability - Barbosa et al. - American Journal of Botany 2023

description: <b>The role of intraspecific variation of bumblebee body size and behavior on buzz pollination of a tropical legume species</b>Data Availability - Barbosa et al. - American Journal of Botany 2023The data collection and processing in the laboratory were carried out in the field of the Federal University of ABC (São Bernardo do Campo, São Paulo, Brazil).More details are available in the associated paper in the American Journal of Botany.
DOI: 10.6084/m9.figshare.23819373.v2
title: Data Availability - Barbosa et al. - American Journal of Botany 2023

description: <b>The role of intraspecific variation of bumblebee body size and behavior on buzz pollination of a tropical legume species</b>Data Availability - Barbosa et al. - American Journal of Botany 2023The data collection and processing in the laboratory were carried out in the field of the Federal University of ABC (São Bernardo do Campo, São Paulo, Brazil).More details are available in the associated paper in the American Journal of Botany.
DOI: 10.5281/zenodo.8091183
title: Citizen-science and social media images of "Cortaderia Selloana"

description: In this dataset, we compiled 2,446 images with <em>Cortaderia selloana</em> from the main Portuguese citizen science platform on invasive alien plants (https://invasoras.pt/), from which only those containing the species with plumes (1,323) were retained. This set of 1,323 images was manually checked, and low resolution and blurred images were removed (resulting in 1,237 images). A similar number (1,237) of outdoor images without <em>Cortaderia selloana</em> (in similar context to the ones with <em>Cortaderia selloana</em>) was additionally collected from Flickr, resulting in a total of 2,474 images.
DOI: 10.5281/zenodo.8348558
title: Portuguese citizen science and social media images of "Cortaderia Selloana"

description: In the first dataset (Citizen_science_dataset), we compiled 2,273 images with <em>Cortaderia selloana</em> from the main Portuguese citizen science platform on invasive alien plants (https://invasoras.pt/) and iNaturalist (https://www.inaturalist.org/), from which only those containing the species with plumes (1,323) were retained. This set of 1,323 images was manually checked, and low resolution and blurred images were removed (resulting in 1,237 images). A similar number (1,237) of outdoor images without <em>Cortaderia selloana</em> (in similar context to the ones with <em>Cortaderia selloana</em>) was additionally collected from Flickr, resulting in a total of 2,474 images. The second dataset (Social_media_dataset) consists of publicly available images taken in Portugal from four social media platforms: Facebook (https://www.facebook.com/), Flickr (https://www.flickr.com/), Instagram (https://www.instagram.com/) and Twitter (https://twitter.com/). Image collection was done by searching for common names of <em>C. selloana</em> in Portuguese (e.g., “Erva das pampas”, “Capim das pampas”), as well as the scientific name of the species (i.e., “<em>Cortaderia selloana</em>”), resulting in a total of 400 images. We also collected the same number of outdoor images without the <em>C. selloana</em> from the same social media platforms). The final size of the transferability set was 800 images.
DOI: 10.5281/zenodo.8091182
title: Portuguese citizen science and social media images of "Cortaderia Selloana"

description: In the first dataset (Citizen_science_dataset), we compiled 2,273 images with <em>Cortaderia selloana</em> from the main Portuguese citizen science platform on invasive alien plants (https://invasoras.pt/) and iNaturalist (https://www.inaturalist.org/), from which only those containing the species with plumes (1,323) were retained. This set of 1,323 images was manually checked, and low resolution and blurred images were removed (resulting in 1,237 images). A similar number (1,237) of outdoor images without <em>Cortaderia selloana</em> (in similar context to the ones with <em>Cortaderia selloana</em>) was additionally collected from Flickr, resulting in a total of 2,474 images. The second dataset (Social_media_dataset) consists of publicly available images taken in Portugal from four social media platforms: Facebook (https://www.facebook.com/), Flickr (https://www.flickr.com/), Instagram (https://www.instagram.com/) and Twitter (https://twitter.com/). Image collection was done by searching for common names of <em>C. selloana</em> in Portuguese (e.g., “Erva das pampas”, “Capim das pampas”), as well as the scientific name of the species (i.e., “<em>Cortaderia selloana</em>”), resulting in a total of 400 images. We also collected the same number of outdoor images without the <em>C. selloana</em> from the same social media platforms). The final size of the transferability set was 800 images.
DOI: 10.5281/zenodo.8393518
title: Portuguese citizen science and social media images of "Cortaderia Selloana"

description: In the first dataset (Citizen_science_dataset), we compiled 2,273 images with <em>Cortaderia selloana</em> from the main Portuguese citizen science platform on invasive alien plants (https://invasoras.pt/) and iNaturalist (https://www.inaturalist.org/), from which only those containing the species with plumes (1,323) were retained. This set of 1,323 images was manually checked, and low resolution and blurred images were removed (resulting in 1,237 images). A similar number (1,237) of outdoor images without <em>Cortaderia selloana</em> (in similar context to the ones with <em>Cortaderia selloana</em>) was additionally collected from Flickr, resulting in a total of 2,474 images. The second dataset (Social_media_dataset) consists of publicly available images taken in Portugal from four social media platforms: Facebook (https://www.facebook.com/), Flickr (https://www.flickr.com/), Instagram (https://www.instagram.com/) and Twitter (https://twitter.com/). Image collection was done by searching for common names of <em>C. selloana</em> in Portuguese (e.g., “Erva das pampas”, “Capim das pampas”), as well as the scientific name of the species (i.e., “<em>Cortaderia selloana</em>”), resulting in a total of 400 images. We also collected the same number of outdoor images without the <em>C. selloana</em> from the same social media platforms). The final size of the transferability set was 800 images.
DOI: 10.5066/p9iu1uz6
title: The North American Breeding Bird Survey, Analysis Results 1966 - 2022

description: This data product consists of a database of population change and abundance estimates for North American birds, estimated from North American Breeding Bird Survey (BBS) data. Data are presented for 548 species of birds in 4 spreadsheets containing trend estimates and annual indices for 2 time periods. Estimates are derived for each species using the 1 of 4 alternative models, and a cross-validation model selection procedure was used to select the best model for each species. Metadata associated with this data product provides information specific to the associated analysis results; metadata for the BBS data are available at Ziolkowski, D.J., Lutmerding, M., English, W.B., Aponte, V.I., and Hudson, M-A.R., 2023, North American Breeding Bird Survey Dataset 1966 - 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P9GS9K64.
DOI: 10.17632/r6y2sh2vhr.1
title: blend

description: Database for an article.
DOI: 10.17632/r6y2sh2vhr.2
title: blend

description: Database for an article.
DOI: 10.17632/jdc4mvwvjt.1
title: Empirical modelling of supercritical Nusselt number correlations with possible combinations of indicative dimensionless variables (Validation)

description: There are currently over 100 correlations for estimating the Nusselt number in supercritical heat transfer, with over 30 dimensionless variables utilized to model the correlation. However, a systematic approach to identify the optimal correlation form that best represents the underlying dataset has yet to be established. Therefore, in this study, a comprehensive model for supercritical Nusselt number correlations was developed through a preliminary Spearman's rank correlation analysis and empirical modelling for conceivable combinations of dimensionless variables. The dataset validated with Bae's experimental dataset for upward supercritical carbon dioxide flow at 8.12 MPa inside 6.32 mm diameter channel was post-processed to 33 commonly used dimensionless variables and 1,149,016 dimensionless groups. Through Spearman's rank correlation analysis, 7408 dimensionless groups with a strong positive monotonic relationship with Nusselt number were identified. Subsequently, the 1,149,016 dimensionless groups were empirically correlated and compared to the Spearman's rank correlation coefficients. The present study reveals one correlation that has a minimum RMSPE of 0.595% with no outliers exceeding 5%. Overall, this study provides valuable insights into the empirical modelling of supercritical Nusselt number correlations for millions of dimensionless groups, and can be applied to the modelling of Nusselt number correlations under various heat transfer conditions.
DOI: 10.17632/3b94mztp2m.1
title: Olfactory crypsis and visual attraction in a crab spider

description: There may be an intense interaction or even an arms race between the crypsis skills of sedentary predators and the detection abilities of prey. We explored the issue using a common crab spider and housefly as the predator and prey, respectively. The results showed that novice houseflies did not, but experienced individuals recognized and avoided spider odor. However, spiders responded such detection excellently by utilizing scent of flower substrates to achieve olfactory crypsis. Houseflies could distinguish between the color of spider body against flower, but they preferred rather than avoided the flowers occupied by female spider. This phenomenon may because that the yellow pattern of female spider abdomen act as attractant on white flower petal. Overall, the data provide evidence for the olfactory crypsis of spider, and propose a new potential yellow signaling mechanism for spiders to attract insects.
DOI: 10.17632/3b94mztp2m.2
title: Olfactory crypsis and visual attraction in a crab spider

description: There may be an intense interaction or even an arms race between the crypsis skills of sedentary predators and the detection abilities of prey. We explored the issue using a common crab spider and housefly as the predator and prey, respectively. The results showed that novice houseflies did not, but experienced individuals recognized and avoided spider odor. However, spiders responded such detection excellently by utilizing scent of flower substrates to achieve olfactory crypsis. Houseflies could distinguish between the color of spider body against flower, but they preferred rather than avoided the flowers occupied by female spider. This phenomenon may because that the yellow pattern of female spider abdomen act as attractant on white flower petal. Overall, the data provide evidence for the olfactory crypsis of spider, and propose a new potential yellow signaling mechanism for spiders to attract insects.
DOI: 10.17632/js772pxyct.1
title: Raccoon problem-solving Lazure & Weladji

description: Problem-solving performance (success y/n and time) of wild raccoons (Procyon lotor) in three protected areas in Québec, Canada. Data extracted manually from videos.
DOI: 10.17632/9dnrc6s3ck.1
title: Real-time truck scheduling model for multiple-door cross-dock

description: This dataset is in regard to Chapter 5 of the PhD thesis titled "Real-time Truck Scheduling in Cross-Docking: A Hybrid Multi-Agent Simulation Framework". It is organised in 5 folders, each representing a door set as follows: - DootSet_1: 2-inbound and 2-outbound doors. H: high traffic, 280 pallets per hour. M: medium traffic, 140 pallets per hour. L: low traffic, 70 pallets per hour. - DootSet_2: 5-inbound and 5-outbound doors. H: high traffic, 680 pallets per hour. M: medium traffic, 340 pallets per hour. L: low traffic, 170 pallets per hour. - DootSet_3: 10-inbound and 10-outbound doors. H: high traffic, 1300 pallets per hour. - DootSet_4: 15-inbound and 15-outbound doors. H: high traffic, 1900 pallets per hour. - DootSet_5: 20-inbound and 20-outbound doors. H: high traffic, 2500 pallets per hour. The input data for each door set is defined in Excel files, each file containing the inbound trucks, outbound trucks and pallets data for one or more simulation instances. Excel files are named with the following convention: "<i>_" Where: - <i> represents the inbound traffic level (H for high, M for medium, L for low) as defined for each door set above - represents the outbound traffic level (H for high, M for medium, L for low) as defined for each door set above - represents the simulation instance(s). It may represent a single instance (for example "4") or a range of instances (for example 1-10 representing instances 1 to 10). For example, the file "LM_51-60" in the folder "DoorSet_1" represents the input data for instances 51 to 60, with low (70 pallets per hour) inbound and medium (140 pallets per hour) outbound traffic, for door set 1. Each Excel file contains the following worksheets: - inboundTrucks: list of inbound trucks (one per row) with the instance ID they are associated with, a unique ID and their corresponding arrival times since the start of simulation in minutes. - outboundTrucks: list of outbound trucks (one per row) with the instance ID they are associated with, a unique ID, their corresponding arrival times since the start of simulation in minutes, their due date in minutes since the start of simulation and their destination identified by an integer ranging from 1 to 3 (included). - pallets: list of pallets (one per row) with the instance ID they are associated with, a unique ID, the ID of the inbound truck in which they start the simulation, their due date in minutes since the start of simulation, their destination identified by an integer ranging from 1 to 3 (included) and their type identified by a letter A, B or C.</i></i>
DOI: 10.6084/m9.figshare.24021049
title: Empirical Likelihood for Network Data

description: This article develops a concept of nonparametric likelihood for network data based on network moments, and proposes general inference methods by adapting the theory of jackknife empirical likelihood. Our methodology can be used not only to conduct inference on population network moments and parameters in network formation models, but also to implement goodness-of-fit testing, such as testing block size for stochastic block models. Theoretically we show that the jackknife empirical likelihood statistic for acyclic or cyclic subgraph moments loses its asymptotic pivotalness in severely or moderately sparse cases, respectively, and develop a modified statistic to recover pivotalness in such cases. The main advantage of our modified jackknife empirical likelihood method is its validity under weaker sparsity conditions than existing methods although it is computationally more demanding than the unmodified version. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24021049.v2
title: Empirical Likelihood for Network Data

description: This article develops a concept of nonparametric likelihood for network data based on network moments, and proposes general inference methods by adapting the theory of jackknife empirical likelihood. Our methodology can be used not only to conduct inference on population network moments and parameters in network formation models, but also to implement goodness-of-fit testing, such as testing block size for stochastic block models. Theoretically we show that the jackknife empirical likelihood statistic for acyclic or cyclic subgraph moments loses its asymptotic pivotalness in severely or moderately sparse cases, respectively, and develop a modified statistic to recover pivotalness in such cases. The main advantage of our modified jackknife empirical likelihood method is its validity under weaker sparsity conditions than existing methods although it is computationally more demanding than the unmodified version. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.24021049.v1
title: Empirical likelihood for network data

description: This article develops a concept of nonparametric likelihood for network data based on network moments, and proposes general inference methods by adapting the theory of jackknife empirical likelihood. Our methodology can be used not only to conduct inference on population network moments and parameters in network formation models, but also to implement goodness-of-fit testing, such as testing block size for stochastic block models. Theoretically we show that the jackknife empirical likelihood statistic for acyclic or cyclic subgraph moments loses its asymptotic pivotalness in severely or moderately sparse cases, respectively, and develop a modified statistic to recover pivotalness in such cases. The main advantage of our modified jackknife empirical likelihood method is its validity under weaker sparsity conditions than existing methods although it is computationally more demanding than the unmodified version.
DOI: 10.34740/kaggle/dsv/6572551
title: Balochi Language to English Translation Dataset
DOI: 10.34740/kaggle/dsv/6572515
title: numeros vencedores da loteria americana
DOI: 10.5281/zenodo.8390433
title: Underlying data for: "Morphology as indicator of adaptive changes of model tissues in osmotically and chemically changing environments"

description: For our publication "Morphology as indicator of adaptive changes of model tissues in osmotically and chemically changing environments" (at DOI: 10.1016/j.bioadv.2023.213635) we here provide the raw data for the included plots. Due to the aggregate size of the numerous microscopy images, those are provided on request.<br> Herein, we provide the data obtained by processing the microscopy images into cell nuclei positions, cell density profiles and morpological as well as topological parameters.
DOI: 10.5281/zenodo.8390432
title: Underlying data for: "Morphology as indicator of adaptive changes of model tissues in osmotically and chemically changing environments"

description: For our publication "Morphology as indicator of adaptive changes of model tissues in osmotically and chemically changing environments" (at DOI: 10.1016/j.bioadv.2023.213635) we here provide the raw data for the included plots. Due to the aggregate size of the numerous microscopy images, those are provided on request.<br> Herein, we provide the data obtained by processing the microscopy images into cell nuclei positions, cell density profiles and morpological as well as topological parameters.
DOI: 10.6084/m9.figshare.22109954
title: The relative importance of social information use for population abundance in group-living and non-grouping prey

description: R scripts for model construction and data supporting the results.
DOI: 10.6084/m9.figshare.22109954.v1
title: The relative importance of social information use for population abundance in group-living and non-grouping prey

description: R scripts for model construction and data supporting the results.
DOI: 10.6084/m9.figshare.24223162
title: Excel Spread Sheets for tables and Figures in Manuscript

description: Geolocation<br><br>
DOI: 10.6084/m9.figshare.24026588
title: Spectral Clustering, Bayesian Spanning Forest, and Forest Process

description: Spectral clustering views the similarity matrix as a weighted graph, and partitions the data by minimizing a graph-cut loss. Since it minimizes the across-cluster similarity, there is no need to model the distribution within each cluster. As a result, one reduces the chance of model misspecification, which is often a risk in mixture model-based clustering. Nevertheless, compared to the latter, spectral clustering has no direct ways of quantifying the clustering uncertainty (such as the assignment probability), or allowing easy model extensions for complicated data applications. To fill this gap, we propose the Bayesian forest model as a generative graphical model for spectral clustering. This is motivated by our discovery that the posterior connecting matrix in a forest model has almost the same leading eigenvectors, as the ones used by normalized spectral clustering. To induce a distribution for the forest, we develop a “forest process” as a graph extension to the urn process, while we carefully characterize the differences in the partition probability. We derive a simple Markov chain Monte Carlo algorithm for posterior estimation, and demonstrate superior performance compared to existing algorithms. We illustrate several model-based extensions useful for data applications, including high-dimensional and multi-view clustering for images. Supplementary materials for this article are available online.