cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8266730.v2
title: Dataset of Ethnic Facial Images of Ecuadorian People

description: This dataset is made up of ethnic facial images of Ecuadorian people. Data could be used in the development of research projects related to ancestrality, detection of face parts and biometrics. Each image has metadata of their respective biometric measurements: eyebrows, eyes, nose and mouth. In addition, this dataset contains information related to: personal data, ethnic characteristics and ancestry. Metadata about the ethnic and biometric facial information were obtained by two techniques: 1. Application of artificial intelligence algorithms: used for the detection, identification and face's biometry for the extraction of anthropometric points of interest. These measurements are stored in a XML file, with the points that the algorithm detected. 2. Surveys: used to obtain personal information, ethnic characteristics, ancestry, ethnic self-denomination, etc. The surveys and image dataset were taken, in the period from April 1 to May 30, 2019. The demographic situation of the main ethnic groups of Ecuador was considered and the sample was taken in the cities of Quito, Guayaquil, Ibarra and Latacunga. The dataset compromises 430 images of people (self-denominated) of the next ethnic groups:<br> • Afro-ecuadorian (50) • European descendant (50) • Indigenous (50) • Mestizo (280) The images have a resolution of 1920x1280 pixels in full color and the scenario that was defined for the capture has the following characteristics: • Background: White • Distance of the individual towards the camera: 1.10 [m] • Brightness: front and side lighting • Posture of the subject: straight with neutral facial expression and free of objects that hinder the face. All people who participated in the project gave their consent for the use of their photography and personal information for academic purposes, which include: scientific journals, presentations and digital academic repositories. About the Files: • The images are distributed in four folders, according to the ethnic group: Afro-ecuadorians, European descendants, Indigenous and Mestizos. • The technical specifications of the camera, used in the construction of this dataset, are described in the file Cam_spec.csv ("Metadata" folder). • Each of the XML files generated by ethnicity are included in the "Metadata" folder. • The answers of the applied survey and the characteristics of the variables are included in the files: Ethnic_facial_characteristics_answers.csv and Variables_characteristics.csv, respectively, within the folder "Metadata".
DOI: 10.26180/5d01733e6c79b
title: Data for figures

description: Data associated with figures in "High survivability of micrometeorites on Mars: Sites with enhanced availability of limiting nutrients", by Tomkins et al.; Journal of Geophysical Research - Planets. Uploaded June 2019.
DOI: 10.6084/m9.figshare.8266658.v2
title: Scalable Visualization Methods for Modern Generalized Additive Models

description: In the last two decades, the growth of computational resources has made it possible to handle generalized additive models (GAMs) that formerly were too costly for serious applications. However, the growth in model complexity has not been matched by improved visualizations for model development and results presentation. Motivated by an industrial application in electricity load forecasting, we identify the areas where the lack of modern visualization tools for GAMs is particularly severe, and we address the shortcomings of existing methods by proposing a set of visual tools that (a) are fast enough for interactive use, (b) exploit the additive structure of GAMs, (c) scale to large data sets, and (d) can be used in conjunction with a wide range of response distributions. The new visual methods proposed here are implemented by the mgcViz R package, available on the Comprehensive R Archive Network. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.8266658.v1
title: Scalable visualisation methods for modern Generalized Additive Models

description: In the last two decades the growth of computational resources has made it possible to handle Generalized Additive Models (GAMs) that formerly were too costly for serious applications. However, the growth in model complexity has not been matched by improved visualisations for model development and results presentation. Motivated by an industrial application in electricity load forecasting, we identify the areas where the lack of modern visualisation tools for GAMs is particularly severe, and we address the shortcomings of existing methods by proposing a set of visual tools that a) are fast enough for interactive use, b) exploit the additive structure of GAMs, c) scale to large data sets and d) can be used in conjunction with a wide range of response distributions. The new visual methods proposed here are implemented by the mgcViz R package, available on the Comprehensive R Archive Network.
DOI: 10.6084/m9.figshare.8266403
title: wing breakout 0.3

description: wing breakout 0.3
DOI: 10.6084/m9.figshare.8266319
title: Stothart et al. 2019 16S Amplicon Mapping File - Proc B

description: Sequence mapping file for input in bioinformatics pipeline used in Stothart et al. 2019 Proceedings of the Royal Society B primary research article (10.1098/rspb.2019.2111).
DOI: 10.6084/m9.figshare.8266403.v1
title: wing breakout 0.3

description: wing breakout 0.3
DOI: 10.6084/m9.figshare.8266316
title: Enviromics data: File S3_pheno.txt

description: Data files used in Resende, RT et al. 2019. <b>Enviromics in breeding: applications and perspectives of envirotypic assisted prediction</b>. Submitted.<br><b>File <i>S2_pheno.txt</i></b><b>:</b> Simulated data of a phenotypic response trait with a broad-sense heritabilty (h²) ≈ 0.10. (ex. agricultural yield) for 100 unrelated genotyped (ex. lines, clones) across 50 experimental trials totaling 5,000 experimental plots.<br>
DOI: 10.6084/m9.figshare.8266304
title: Enviromics data: File S2_envdat.txt

description: Data files used in Resende, RT et al. 2019. <b>Enviromics in breeding: applications and perspectives of envirotypic assisted prediction</b>. Submitted.<br><b>File <i>S1_envdat.txt</i>:</b> Simulated envirotypic marker data. Fifty trials were randomly allocated to a square area covered 10,000 pixels (rows). Data for external environmental variables that could potentially affect yield in the area were simulated. One hundred overlapping rasters (columns) corresponding to climate and landscape-based environmental attributes (ENV) containing envirotypic information were simulated, each raster corresponding to a grid of all 10,000 pixels in the area, i.e. an enviromic marker.<br>
DOI: 10.6084/m9.figshare.8266316.v2
title: Enviromics data: File S3_pheno.txt

description: Data files used in Resende, RT et al. 2019. <b>Enviromics in breeding: applications and perspectives of envirotypic assisted prediction</b>. Submitted.<br><b>File <i>S2_pheno.txt</i></b><b>:</b> Simulated data of a phenotypic response trait with a broad-sense heritabilty (h²) ≈ 0.10. (ex. agricultural yield) for 100 unrelated genotyped (ex. lines, clones) across 50 experimental trials totaling 5,000 experimental plots.<br>
DOI: 10.6084/m9.figshare.8266319.v2
title: Stothart et al. 2019 16S Amplicon Mapping File - Proc B

description: Sequence mapping file for input in bioinformatics pipeline used in Stothart et al. 2019 Proceedings of the Royal Society B primary research article (10.1098/rspb.2019.2111).
DOI: 10.6084/m9.figshare.8266319.v1
title: 16S Amplicon Mapping File

description: Sequence mapping file for input in bioinformatics pipeline used in Stothart et al. 2019 Proceedings of the Royal Society B primary research article (10.1098/rspb.2019.2111).
DOI: 10.6084/m9.figshare.8266316.v1
title: Enviromics data: File S2_pheno.txt

description: Data files used in Resende, RT et al. 2019. <b>Enviromics in breeding: applications and perspectives of envirotypic assisted prediction</b>. Submitted.<br><b>File <i>S2_pheno.txt</i></b><b>:</b> Simulated data of a phenotypic response trait with a broad-sense heritabilty (h²) ≈ 0.10. (ex. agricultural yield) for 100 unrelated genotyped (ex. lines, clones) across 50 experimental trials totaling 5,000 experimental plots.<br>
DOI: 10.6084/m9.figshare.8266247
title: wing breakout 0.15

description: wing breakout 0.15
DOI: 10.6084/m9.figshare.8266304.v2
title: Enviromics data: File S2_envdat.txt

description: Data files used in Resende, RT et al. 2019. <b>Enviromics in breeding: applications and perspectives of envirotypic assisted prediction</b>. Submitted.<br><b>File <i>S1_envdat.txt</i>:</b> Simulated envirotypic marker data. Fifty trials were randomly allocated to a square area covered 10,000 pixels (rows). Data for external environmental variables that could potentially affect yield in the area were simulated. One hundred overlapping rasters (columns) corresponding to climate and landscape-based environmental attributes (ENV) containing envirotypic information were simulated, each raster corresponding to a grid of all 10,000 pixels in the area, i.e. an enviromic marker.<br>
DOI: 10.6084/m9.figshare.8266304.v1
title: Enviromics data: File S1_envdat.txt

description: Data files used in Resende, RT et al. 2019. <b>Enviromics in breeding: applications and perspectives of envirotypic assisted prediction</b>. Submitted.<br><b>File <i>S1_envdat.txt</i>:</b> Simulated envirotypic marker data. Fifty trials were randomly allocated to a square area covered 10,000 pixels (rows). Data for external environmental variables that could potentially affect yield in the area were simulated. One hundred overlapping rasters (columns) corresponding to climate and landscape-based environmental attributes (ENV) containing envirotypic information were simulated, each raster corresponding to a grid of all 10,000 pixels in the area, i.e. an enviromic marker.<br>
DOI: 10.6084/m9.figshare.8266247.v1
title: wing breakout 0.15

description: wing breakout 0.15
DOI: 10.6084/m9.figshare.8266151
title: CT FB final (version 1).xlsx

description: The data spreadsheets include signalment (species, size, age, sex, breed), radiologist review (presence of foreign material, presence of obstruction, location of foreign material, presence of free fluid), outcome of patients (surgical vs medical management), confirmation of CT findings, date of CT scan, time to follow up, and patient ID number. It also includes which cases had previous radiographs or abdominal ultrasound or both prior to their CT scans.
DOI: 10.6084/m9.figshare.8266151.v1
title: CT FB final (version 1).xlsx

description: The data spreadsheets include signalment (species, size, age, sex, breed), radiologist review (presence of foreign material, presence of obstruction, location of foreign material, presence of free fluid), outcome of patients (surgical vs medical management), confirmation of CT findings, date of CT scan, time to follow up, and patient ID number. It also includes which cases had previous radiographs or abdominal ultrasound or both prior to their CT scans.
DOI: 10.6084/m9.figshare.8264198
title: Workflow M. Furfur - Prediction of biological activity

description: <pre>Prediction of biological activity for fungus <i>M. Furfur</i></pre>
DOI: 10.6084/m9.figshare.8264132
title: Enviromics_data

description: Data files used in Resende, RT et al. 2020. <b><i>Enviromics</i> in breeding: applications and perspectives on envirotypic-assisted selection</b>. Theoretical and Applied Genetics.<br><br><b>File</b><i><b> code_data-simulation.R:</b></i> R Code lines by which the simulated envirotypic (File S1) and genotypic and phenotypic (File S2) data files were obtained. Running these commands will produce different data sets than the ones appended, given the stochastic nature of the simulation process<br><b>File <i>S1_envdat.txt</i>:</b> Simulated envirotypic marker data. Fifty trials were randomly allocated to a square area covered 10,000 pixels (rows). Data for external environmental variables that could potentially affect yield in the area were simulated. One hundred overlapping rasters (columns) corresponding to climate and landscape-based environmental attributes (EA) containing envirotypic information were simulated, each raster corresponding to a grid of all 10,000 pixels in the area, i.e. an enviromic marker.<br><b>File <i>S2_pheno.txt</i>:</b> Simulated data of a phenotypic response trait with a broad-sense heritabilty (h²) ≈ 0.10. (ex. agricultural yield) for 100 unrelated genotyped (ex. lines, clones) across 50 experimental trials totaling 5,000 experimental plots.
DOI: 10.6084/m9.figshare.8264198.v1
title: Workflow M. Furfur - Prediction of biological activity

description: <pre>Prediction of biological activity for fungus <i>M. Furfur</i></pre>
DOI: 10.6084/m9.figshare.8264120
title: darc_data.tar.gz

description: Compressed tarball containing two large multiple sequence alignments of protein AAA+ domains used as input to the DARC (deep analysis of residue constraints) program. An analysis of this data is described in a currently unpublished manuscript describing and illustrating DARC for bacterial DNA clamp loaders.
DOI: 10.6084/m9.figshare.8264132.v1
title: Enviromics_data

description: Data files used in Resende, RT et al. 2019. <b><i>Enviromics</i> in breeding: applications and perspectives on envirotypic-assisted selection</b>. Submitted.<br><br><b>File</b><i><b> code_data-simulation.R:</b></i> R Code lines by which the simulated envirotypic (File S1) and genotypic and phenotypic (File S2) data files were obtained. Running these commands will produce different data sets than the ones appended, given the stochastic nature of the simulation process<br><b>File <i>S1_envdat.txt</i>:</b> Simulated envirotypic marker data. Fifty trials were randomly allocated to a square area covered 10,000 pixels (rows). Data for external environmental variables that could potentially affect yield in the area were simulated. One hundred overlapping rasters (columns) corresponding to climate and landscape-based environmental attributes (EA) containing envirotypic information were simulated, each raster corresponding to a grid of all 10,000 pixels in the area, i.e. an enviromic marker.<br><b>File <i>S2_pheno.txt</i>:</b> Simulated data of a phenotypic response trait with a broad-sense heritabilty (h²) ≈ 0.10. (ex. agricultural yield) for 100 unrelated genotyped (ex. lines, clones) across 50 experimental trials totaling 5,000 experimental plots.
DOI: 10.6084/m9.figshare.8264120.v1
title: darc_data.tar.gz

description: Compressed tarball containing two large multiple sequence alignments of protein AAA+ domains used as input to the DARC (deep analysis of residue constraints) program. An analysis of this data is described in a currently unpublished manuscript describing and illustrating DARC for bacterial DNA clamp loaders.
DOI: 10.6084/m9.figshare.8264084
title: Microplastics ingestion and heterotrophy in thermally stressed corals. Ingestion rate data

description: Ingestion rates determined by dissection for number of microplastics and Artemia ingested per 200 polyps by Montipora capitata and Pocillopora damicornis. 4 separate files: micorplastics ingestion by M. capitata; microplastics ingestion by P. damicornis; Artemia ingestion by M. capitata; Artemia ingestion by P. damicornis.<br>
DOI: 10.6084/m9.figshare.8264054
title: Stothart et al. 2019 Meta-Data - Proc B

description: Eastern grey squirrel meta-data paired to raw 16S sequences
DOI: 10.6084/m9.figshare.8264054.v1
title: Stothart et al. 2019 Meta-Data - Proc B

description: Eastern grey squirrel meta-data paired to raw 16S sequences
DOI: 10.6084/m9.figshare.8264003
title: Stothart et al. 2019 Raw-16S-v3-v4-sequences - Proc B

description: Raw 16S v3-v4 sequences from wild urban and forest eastern grey squirrel faecal pellets.
DOI: 10.6084/m9.figshare.8264003.v1
title: Stothart et al. 2019 Raw-16S-v3-v4-sequences - Proc B

description: Raw 16S v3-v4 sequences from wild urban and forest eastern grey squirrel faecal pellets.
DOI: 10.6084/m9.figshare.8263964
title: Raw data of the article - The relationship between pigmentations of pupae and adult insecticide resistance of Bactrocera dorsalis (Hendel)

description: The oriental fruit fly <i>Bactrocera dorsalis</i> (Hendel) is a destructive pest of crops worldwide. The management of <i>B. dorsalis</i> is becoming more and more difficult because of emerging insecticide resistance. Searching for new and effective methods in managing this pest has become an urgent task. Here, we explored the relationship between pigmentation and insecticide resistance by conducting studies on five strains of <i>B. dorsalis</i> (CK, CZ, CB, LC and LX) with various traits of pigmentation and insecticide resistance. Strain CK was a wild strain with brown pupae coloration while strain CZ was a <i>beta</i>-cypermethrin-resistant strain with brown pupae coloration. Strain CB was a pigmentation mutation strain with white pupae coloration. Strain LC was the female of the pigmentation sex genetic strain whose pupae coloration was white. Strain LX was the male of the pigmentation sex genetic strain whose pupae coloration was brown. Efficacy tests were employed to evaluate the resistance performance of the five strains, and transcriptome sequencing and gene quantifications were used to explore the potential genes in both pigmentation and detoxification pathway.
DOI: 10.6084/m9.figshare.8263964.v1
title: Raw data of the article - The relationship between pigmentations of pupae and adult insecticide resistance of Bactrocera dorsalis (Hendel)

description: The oriental fruit fly <i>Bactrocera dorsalis</i> (Hendel) is a destructive pest of crops worldwide. The management of <i>B. dorsalis</i> is becoming more and more difficult because of emerging insecticide resistance. Searching for new and effective methods in managing this pest has become an urgent task. Here, we explored the relationship between pigmentation and insecticide resistance by conducting studies on five strains of <i>B. dorsalis</i> (CK, CZ, CB, LC and LX) with various traits of pigmentation and insecticide resistance. Strain CK was a wild strain with brown pupae coloration while strain CZ was a <i>beta</i>-cypermethrin-resistant strain with brown pupae coloration. Strain CB was a pigmentation mutation strain with white pupae coloration. Strain LC was the female of the pigmentation sex genetic strain whose pupae coloration was white. Strain LX was the male of the pigmentation sex genetic strain whose pupae coloration was brown. Efficacy tests were employed to evaluate the resistance performance of the five strains, and transcriptome sequencing and gene quantifications were used to explore the potential genes in both pigmentation and detoxification pathway.
DOI: 10.6084/m9.figshare.8263811
title: Dataset

description: Dataset
DOI: 10.6084/m9.figshare.8263796
title: SoilHealthDB_V1.xlsx

description: Here, we collected, extracted, and integrated a database of soil health measurements conducted in the field from sites found across the globe. The database, named <i>SoilHealthDB</i>, currently focuses on four main conservation management methods: cover crops, no-tillage, agro-forestry systems, and organic farming. The database includes 5,241 data entries from 281 published studies. These studies represent 324 geographic sites (i.e., locations with unique latitudes and longitudes) in 41 countries around the world. The <i>SoilHealthDB</i> includes 42 soil health indicators and 45 background indicators that describe factors such as climate, elevation, and soil type. A primary goal of this effort is to enable the research community to perform comprehensive analyses, e.g., meta-analyses, of soil health changes related to cropland conservation management. The database also provides a common framework for sharing soil health, and the scientific research community is encouraged to contribute their own measurements.
DOI: 10.6084/m9.figshare.8263811.v1
title: Dataset01.txt

description: Dataset01.txt
DOI: 10.6084/m9.figshare.8263811.v3
title: Dataset

description: Dataset
DOI: 10.6084/m9.figshare.8263811.v2
title: Dataset

description: Dataset
DOI: 10.6084/m9.figshare.8263796.v1
title: SoilHealthDB_V1.xlsx

description: Here, we collected, extracted, and integrated a database of soil health measurements conducted in the field from sites found across the globe. The database, named <i>SoilHealthDB</i>, currently focuses on four main conservation management methods: cover crops, no-tillage, agro-forestry systems, and organic farming. The database includes 5,241 data entries from 281 published studies. These studies represent 324 geographic sites (i.e., locations with unique latitudes and longitudes) in 41 countries around the world. The <i>SoilHealthDB</i> includes 42 soil health indicators and 45 background indicators that describe factors such as climate, elevation, and soil type. A primary goal of this effort is to enable the research community to perform comprehensive analyses, e.g., meta-analyses, of soil health changes related to cropland conservation management. The database also provides a common framework for sharing soil health, and the scientific research community is encouraged to contribute their own measurements.
DOI: 10.6084/m9.figshare.8263718
title: bank_zeb_mal_bootstrap

description: Distribution of bootstrapped D3 statistics for the Banksii/Zebrina/Malaccensis trio
DOI: 10.6084/m9.figshare.8263718.v1
title: bank_zeb_mal_bootstrap

description: Distribution of bootstrapped D3 statistics for the Banksii/Zebrina/Malaccensis trio
DOI: 10.6084/m9.figshare.8263691
title: bank_mal_burm_bootstrap

description: Distribution of bootstrapped D3 statistics for the Banksii/ Malaccensis/Burmannica trio
DOI: 10.6084/m9.figshare.8263691.v1
title: bank_mal_burm_bootstrap

description: Distribution of bootstrapped D3 statistics for the Banksii/ Malaccensis/Burmannica trio
DOI: 10.6084/m9.figshare.8263589
title: Supplementary Material for: Generic Cost-Effectiveness Models: A Proof of Concept of a Tool for Informed Decision-Making for Public Health Precision Medicine

description: <b><i>Background/Aims:</i></b> Economic evaluation is integral to informed public health decision-making in the rapidly growing field of precision and personalized medicine (PM); however, this research requires specialized expertise and significant resources. Generic models are a novel innovation to efficiently address a critical PM evidence shortage and implementation barrier by enabling use of population-specific input values. This is a generic PM economic evaluation model proof-of-concept study for a pharmacogenomic use case. <b><i>Methods:</i></b> An 8-step generic economic model development process was applied to the use case of human leukocyte antigen (<i>HLA</i>)<i>-B</i>*<i>15:</i><i>02</i>genotyping for prediction of carbamazepine-induced cutaneous reactions, with a user-friendly decision-making tool relying on user-provided input values. This generic model was transparently documented and validated, including cross-validation comparing cost-effectiveness results with 3 country-specific models. <b><i>Results:</i></b> A generic pharmacogenomic use case cost-effectiveness model with decision-making tool was successfully developed and cross-validated using input values for 6 populations which produced consistent results for <i>HLA-B</i>*<i>15:</i><i>02</i> screening at country-specific cost-effectiveness threshold values. Differences between the generic and country-specific model results were largely due to differences in model structure and assumptions. <b><i>Conclusion:</i></b> This proof on concept demonstrates the feasibility of generic models to provide useful PM economic evidence, supporting their use as a pragmatic and timely approach to address a growing need.