cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/74zz6dj9vn.2
title: Automatic Number Plate Recognition

description: Automatic Number Plate Recognition (ANPR) systems have gained a lot attention due to its vast applications, including traffic management, law enforcement, toll collection and parking systems. ANPR can also be used to track stolen vehicles that have been used in criminal activities.
ANPR systems face challenges in dusty environments, especially in developing countries where there are many untarred roads. ANPR systems also face tedious task due to the variety of plate formats (i.e., Plate size, background, character size, plate texture) especially where there is a busy environment and complex scenarios.  To address some of these challenges we present license plate dataset captured at various locations in Ghana.
The dataset is presented into one main folder which contains twelve (12) sub folders. The total number of images in the dataset is 11,326 images. It is grouped according to the regions in Ghana (6,202-Ashanti Region, 440-Brong Ahafo Region, 103 -Central Region, 665 - DV, 70 - Eastern Region, 3,084 -Greater Accra Region, 559 -Motorcycle, 24 - Northern Region, 10 -Upper East Region, 19 -Upper West Region, 07 - Volta Region, and 143 -Western Region). 
This dataset will contribute to the development of a more robust and efficient Number Plate Recognition system.
DOI: 10.17632/2zf7rtpps6.1
title: ADAR1p150 Prevents MDA5 and PKR Activation via Distinct Mechanisms to Avert Fatal Autoinflammation

description: Raw data and images for figures
DOI: 10.6084/m9.figshare.23688831
title: Deer Behavioral Responses Data

description: These data include deer vigilance, spatial activity, coyote activity, and wild pig activity from passive wildlife trail cameras in McCormick County, South Carolina, in May & June, 2019, 2020, and 2021.
DOI: 10.6084/m9.figshare.23688831.v1
title: Deer Behavioral Responses Data

description: These data include deer vigilance, spatial activity, coyote activity, and wild pig activity from passive wildlife trail cameras in McCormick County, South Carolina, in May & June, 2019, 2020, and 2021.
DOI: 10.6084/m9.figshare.23688819
title: Bone

description: The relationship between vitamin D and osteoporosis
DOI: 10.6084/m9.figshare.23688819.v1
title: Bone

description: The relationship between vitamin D and osteoporosis
DOI: 10.6084/m9.figshare.23681025
title: Jarvis-CDVAE-supercon

description: Data associated with the manuscript "Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models" by Daniel Wines, Tian Xie and Kamal Choudhary published in Journal of Physical Chemistry Letters (2023), <em>https://doi.org/10.1021/acs.jpclett.3c01260</em> <br> Files include: <br> jarvis_epc_data_figshare_1058.json.zip (JARVIS superconductor training data from https://www.nature.com/articles/s41524-022-00933-1) <br> all_pred_data.json.zip (CDVAE generated structures) <br> cdvae_plotting.ipynb (plotting scripts for data) <br> CDVAE_relax_DFT.zip (All relaxed DFT structure files) <br> jarvis_epc_data_cdvae.json (DFT electron-phonon coupling results for top candidate superconductors) <br> <br> <br> <br> <br>
DOI: 10.6084/m9.figshare.23681025.v1
title: Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models

description: Data associated with the manuscript "Inverse Design of Next-Generation Superconductors Using Data-Driven Deep Generative Models" by Daniel Wines, Tian Xie and Kamal Choudhary published in Journal of Physical Chemistry Letters (2023), <em>https://doi.org/10.1021/acs.jpclett.3c01260</em> <br> Files include: <br> jarvis_epc_data_figshare_1058.json.zip (JARVIS superconductor training data from https://www.nature.com/articles/s41524-022-00933-1) <br> all_pred_data.json.zip (CDVAE generated structures) <br> cdvae_plotting.ipynb (plotting scripts for data) <br> CDVAE_relax_DFT.zip (All relaxed DFT structure files) <br> jarvis_epc_data_cdvae.json (DFT electron-phonon coupling results for top candidate superconductors) <br> <br> <br> <br> <br>
DOI: 10.5281/zenodo.7365863
title: Data for the consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990-2020

description: The annual carbon dioxide fluxes used to create all graphs in the main text of McGrath et al, "European synthesis of CO2 emissions and removals for EU27 and UK: 1990-2020", submitted to Earth System Science Data.
DOI: 10.5281/zenodo.7365862
title: Data for the consolidated European synthesis of CO2 emissions and removals for EU27 and UK: 1990-2020

description: The annual carbon dioxide fluxes used to create all graphs in the main text of McGrath et al, "European synthesis of CO2 emissions and removals for EU27 and UK: 1990-2020", submitted to Earth System Science Data. A second version was uploaded after responding to reviewer comments. The main difference is primarily that some data was discarded as the plot is no longer included; the units in the fossil fuel timeseries have been changed to Tg C instead of Tg CO2; and the uncertainties have been modified on the NGHGI data for FL, CL, and GL, resulting in a large change for GL (353.8% instead of 752%).
DOI: 10.57709/10gx-g651
title: Dissertations Content Analysis Data Set, "Diving Deep into Dissertations" article, College & Research Libraries

description: 1. Diss_Study_CRLarticle_Codebook_and_Output.pdf --- Contains
(1) article citation, abstract, and author contact,
(2) codebook with variables descriptions and frequency distributions,
(3) output for Tables 2, 3, 4, 5 of the article.
2. Diss_Study_CRLarticle_SPSS_Data.sav --- Raw data file – IBM SPSS Statistics format (SPSS 28 version)
3. Diss_Study_CRLarticle_Excel_Data.xlsx --- Raw data file (data as numeric values and as value labels) – Microsoft Excel format
4. Diss_Study_CRLarticle_NVivo_Text_Search_Queries_for_Software.xlsx --- text search query names and criteria NOTE: NVivo Project File cannot be shared because some of the included dissertations are embargoed against open distribution.
5. Diss_Study_CRLarticle_NVivo_Text_Search_Queries_for_Software.xlsx -- Queries with 3 columns: 
(1) Query Name
(2) Query Criteria
(3) Date Ran and Additional Notes
DOI: 10.6084/m9.figshare.23688894
title: Supplemental Core and Pan Genome Data

description: Core and pan genome data from Pseudoalteromonas isolates from three deep sea basins.
DOI: 10.6084/m9.figshare.23688894.v1
title: Supplemental Core and Pan Genome Data

description: Core and pan genome data from Pseudoalteromonas isolates from three deep sea basins.
DOI: 10.17632/p687n8sw3t.1
title: EGFR expression is associated with relapse in a melanoma cohort receiving adjuvant PD-1-based immunotherapy

description: Suppementary Data for manuscript:

Amaral T, Pop OT, Chatziioannou E, Sinnberg T, Niessner H, Zhao J, Ring SS, Joerger M, Schroeder C, Armeanu-Ebinger S, Cozzio A, Leiter U, Thomas I, Jochum W, Garbe C, Forchhammer S, Levesque M, Mangana J, Hölzel M, Dummer R, Schürch CM, Forschner A, Flatz L. EGFR expression is associated with relapse in a melanoma cohort receiving adjuvant PD-1-based immunotherapy. JAAD 2023
DOI: 10.17632/7wz5p6bxk3.1
title: Supplemental Material: Racial disparities, risk factors, and clinical management practices for tinea capitis

description: Supplemental Material for Hennessee et al. Racial disparities, risk factors, and clinical management practices for tinea capitis: An observational cohort study among U.S. children with Medicaid. Journal of the American Academy of Dermatology. 2023.
DOI: 10.17632/stkhkwbh73.1
title: Orchads in Tunjuelito and Ciudad Bolívar with a link to the Pedagogical Practices in Food Sovereignty and Water Sowing project.

description: El siguiente dataset recoge las huertas escogidas para trabajar en el proyecto de prácticas pedagógicas de soberanía alimentaria y siembra de agua. Como se muestra a continuación, no todas siembran la misma relación de alimentos, lo que, a su vez, es una ventaja comprendiendo la necesidad de dialogo e intercambio, no solo de saberes, sino de semilla y alimento entre las mismas.
DOI: 10.17632/6xmpssxnr4.1
title: In vivo heat production dynamics during a contraction-relaxation cycle in rat single skeletal muscle fibers

description: Dataset with the data of the manuscript "In vivo heat production dynamics during a contraction-relaxation cycle in rat single skeletal muscle fibers"
DOI: 10.17632/zck24s5wdf.1
title: Data for "Bi-objective models for two constrained minimum spanning tree problems"

description: Results, test instances, and instances generator for the above-mentioned paper.
DOI: 10.17632/m6w642z6bb.1
title: Data for: Abundant extraterrestrial purine nucleobases in the Murchison meteorite: Implications for a unified mechanism for purine synthesis in carbonaceous chondrite parent bodies

description: Raw data that were used to generate the mass chromatograms throughout the main text and supplementary material.
DOI: 10.6084/m9.figshare.23232454
title: Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors

description: In statistical analysis or supervised learning, classification has been an attractive topic. Typically, a main goal is to adopt predictors to characterize the primarily interested binary random variables. To model a binary response and predictors, parametric structures, such as logistic regression models or probit models, are perhaps commonly used approaches. However, due to the convenience of data collection, existence of non-informative variables as well as inevitability of measurement error in both responses and predictors become ubiquitous. The simultaneous appearance of these complex features make data analysis become challenging. To address those concerns, we propose a valid inferential method to deal with measurement error and handle variable selection simultaneously. Specifically, we focus on logistic regression or probit models, and propose estimating functions by incorporating corrected responses and predictors. After that, we develop the boosting procedure with error-eliminated estimating functions accommodated to do variable selection and estimation. To justify the proposed method, we examine the convergence of the boosting algorithm and rigorously establish the theoretical results. Through numerical studies, we find that the proposed method accurately retains informative predictors and gives precise estimators, and its performance is generally better than that without measurement error correction. The supplementary materials of this article, including proofs of theoretical results and computer code, are available online.
DOI: 10.6084/m9.figshare.23232454.v2
title: Variable Selection and Estimation for Misclassified Binary Responses and Multivariate Error-Prone Predictors

description: In statistical analysis or supervised learning, classification has been an attractive topic. Typically, a main goal is to adopt predictors to characterize the primarily interested binary random variables. To model a binary response and predictors, parametric structures, such as logistic regression models or probit models, are perhaps commonly used approaches. However, due to the convenience of data collection, existence of non-informative variables as well as inevitability of measurement error in both responses and predictors become ubiquitous. The simultaneous appearance of these complex features make data analysis become challenging. To address those concerns, we propose a valid inferential method to deal with measurement error and handle variable selection simultaneously. Specifically, we focus on logistic regression or probit models, and propose estimating functions by incorporating corrected responses and predictors. After that, we develop the boosting procedure with error-eliminated estimating functions accommodated to do variable selection and estimation. To justify the proposed method, we examine the convergence of the boosting algorithm and rigorously establish the theoretical results. Through numerical studies, we find that the proposed method accurately retains informative predictors and gives precise estimators, and its performance is generally better than that without measurement error correction. The supplementary materials of this article, including proofs of theoretical results and computer code, are available online.
DOI: 10.6084/m9.figshare.23232454.v1
title: Variable selection and estimation for misclassified binary responses and multivariate error-prone predictors

description: In statistical analysis or supervised learning, classification has been an attractive topic. Typically, a main goal is to adopt predictors to characterize the primarily interested binary random variables. To model a binary response and predictors, parametric structures, such as logistic regression models or probit models, are perhaps commonly used approaches. However, due to the convenience of data collection, existence of non-informative variables as well as inevitability of measurement error in both responses and predictors become ubiquitous. The simultaneous appearance of these complex features make data analysis become challenging. To address those concerns, we propose a valid inferential method to deal with measurement error and handle variable selection simultaneously. Specifically, we focus on logistic regression or probit models, and propose estimating functions by incorporating corrected responses and predictors. After that, we develop the boosting procedure with error-eliminated estimating functions accommodated to do variable selection and estimation. To justify the proposed method, we examine the convergence of the boosting algorithm and rigorously establish the theoretical results. Through numerical studies, we find that the proposed method accurately retains informative predictors and gives precise estimators, and its performance is generally better than that without measurement error correction. The supplementary materials of this paper, including proofs of theoretical results and computer code, are available online.
DOI: 10.25345/c52z1307s
title: MassIVE MSV000092447 - Functional genomics, engineering, and systems analyses of Auxenochlorella protothecoides, a green alga with excellent features for discovery and biotechnology
title: Auxenochlorella protothecoides UTEX 250 gapless, annotated genome assembly, A. protothecoides reverse genetics utilizing gene targeting by homologous recombination, transgene expression, and phenotypic characterization of chl27 and fdx6 chlorophyll aerobic cyclase mutants. fdx6 mutants have reduced chlorophyll content, while chl27 mutants are blocked in chlorophyll biosynthesis. Systems analyses revealed global metabolic changes associated with chlorophyll limitation, and between phototrophic, heterotrophic and lipid producing conditions.
DOI: 10.17632/2vjvs7fgzc.1
title: metabolomics of zebrafish at different temperatures

description: Temperature has a significant impact on the feeding, reproduction, and metabolism of organisms. The metabolome refers to the endogenous small molecules that make up the metabolic components in an organism's cells, tissues, and organs. The complex metabolic activities and their regulation in an organism play a crucial role in its growth, development, immunity, and other aspects. Metabolites, which are the downstream end-products of gene and protein expression, serve as endpoints for bioinformation transmission and can provide a comprehensive reflection of the organism's physiological and pathological state. In this study, we conducted zebrafish culturing experiments at different water temperatures (HT, 28 ℃/LT, 16 ℃) and employed high-throughput liquid chromatography-mass spectrometry (LC/MS) to investigate the metabolic profiles of the zebrafish gut. The results revealed significant differences in metabolites at different temperatures, and these differences were strongly associated with changes in gut microbes.
DOI: 10.17632/cz954xkv9k.1
title: Whonet Meta 2022

description: Base de datos de instituciones hospitalarias del departamento del Meta, que contienen reportes de aislamientos bacterianos con su respectivo antibiograma, la deducción fenotipica del tipo de resistencia y la asociación con infecciones asociadas a la atención en salud.
DOI: 10.17632/z76d5m8hbx.1
title: Human proximal tubular epithelial cell-derived apical small extracellular vesicles mediate a ferroptotic ‘wave of tubular death’ in hypoxic kidney injury

description: Supplementary Data (Proteomics/miRNA) for Wang et al - Submitted to Kidney International
DOI: 10.17632/z76d5m8hbx.2
title: Human proximal tubular epithelial cell-derived apical small extracellular vesicles mediate a ferroptotic ‘wave of tubular death’ in hypoxic kidney injury

description: Supplementary Data (Proteomics/miRNA) for Wang et al
DOI: 10.17632/cjygycwkvp.1
title: Dataset for the Figure 2 in manuscript "Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles"

description: This dataset includes the gathered experimental measurments of a freezing test published by Wu (2017)  for the model's verification shown in Figure 2 of the manuscript entitled 'Numerical study of coupled water and vapour flow, heat transfer, and solute transport in variably-saturated deformable soil during freeze-thaw cycles'' by Huang, X., and Rudolph, D.
DOI: 10.6084/m9.figshare.23688954
title: Rstudio prevalence analysis

description: RSudio calculations for prevalence, intensity, and abundance of lice, mites, and co-occurnaces with 95% confidence intervals and ggplots. This also includes Chi-square and Fisher's exact test for significance in co-occurrences. We also have formulas to generate genetic distance matrixes using the ape package.
DOI: 10.5281/zenodo.8147633
title: Metrics Datasets

description: Metrics dataset
DOI: 10.5281/zenodo.8147632
title: Metrics Datasets

description: Metrics dataset
DOI: 10.5519/qd.28u3aj3d
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (11 records)
DOI: 10.5281/zenodo.7694181
title: Supporting data for "Studying stochastic systems biology of the cell with single-cell genomics data"

description: The dataset tar.gz files contain the raw unspliced and spliced count matrices generated by <em>kallisto</em>|<em>bustools</em> 0.26.0 from six datasets. The GVP_2023...zip file is a mirror of the related GitHub repository.
DOI: 10.5281/zenodo.7694182
title: Supporting data for "Studying stochastic systems biology of the cell with single-cell genomics data"

description: The dataset tar.gz files contain the raw unspliced and spliced count matrices generated by <em>kallisto</em>|<em>bustools</em> 0.26.0 from six datasets.
DOI: 10.5281/zenodo.8132976
title: Supporting data for "Studying stochastic systems biology of the cell with single-cell genomics data"

description: The dataset tar.gz files contain the raw unspliced and spliced count matrices generated by <em>kallisto</em>|<em>bustools</em> 0.26.0 from six datasets. The GVP_2023...zip file is a mirror of the related GitHub repository.
DOI: 10.6084/m9.figshare.23538745
title: “The Phone is my Lifeline”: Use of Mobile Phone Technology to Support Recovery among Individuals in Treatment for Substance Use Disorders

description: <b><i>Background:</i></b> People experiencing substance use disorders (SUD) face myriad challenges in maintaining changes in substance use after treatment. Mobile phones can play a role in supporting the recovery process. To date, research has not explored how individuals use mobile phones to seek social support as they enter SUD recovery. <b><i>Objectives:</i></b> We sought to understand how individuals in SUD treatment use mobile technology in support of their recovery. <b><i>Methods:</i></b> We conducted semi-structured interviews with thirty individuals in treatment for any SUD in northeastern Georgia and southcentral Connecticut. Interviews explored participants’ attitudes toward mobile technology and how they used mobile technology while using substances, in treatment, and in recovery. Qualitative data were coded and analyzed using thematic analysis. <b><i>Results:</i></b> We identified three major themes related to how participants: (1) adapted their use of mobile technology as they entered recovery, (2) relied on mobile technology for social support while in recovery, while (3) some found aspects of mobile technology triggering. Many individuals in SUD treatment reported using mobile phones to buy or sell drugs; as such, they took measures to adapt their use of mobile technology as they changed substance use behaviors. As they entered recovery, individuals relied on mobile phones for affiliational, emotional, informational, and instrumental support, though some did share they found some aspects of mobile phones triggering. <b><i>Conclusion:</i></b> These findings highlight the importance of treatment providers engaging in conversations around mobile phone use to help individuals avoid triggers and connect with social supports. These findings uncover new opportunities for recovery support interventions utilizing mobile phones as a delivery mechanism.
DOI: 10.6084/m9.figshare.23538745.v2
title: “The Phone is my Lifeline”: Use of Mobile Phone Technology to Support Recovery among Individuals in Treatment for Substance Use Disorders

description: <b><i>Background:</i></b> People experiencing substance use disorders (SUD) face myriad challenges in maintaining changes in substance use after treatment. Mobile phones can play a role in supporting the recovery process. To date, research has not explored how individuals use mobile phones to seek social support as they enter SUD recovery. <b><i>Objectives:</i></b> We sought to understand how individuals in SUD treatment use mobile technology in support of their recovery. <b><i>Methods:</i></b> We conducted semi-structured interviews with thirty individuals in treatment for any SUD in northeastern Georgia and southcentral Connecticut. Interviews explored participants’ attitudes toward mobile technology and how they used mobile technology while using substances, in treatment, and in recovery. Qualitative data were coded and analyzed using thematic analysis. <b><i>Results:</i></b> We identified three major themes related to how participants: (1) adapted their use of mobile technology as they entered recovery, (2) relied on mobile technology for social support while in recovery, while (3) some found aspects of mobile technology triggering. Many individuals in SUD treatment reported using mobile phones to buy or sell drugs; as such, they took measures to adapt their use of mobile technology as they changed substance use behaviors. As they entered recovery, individuals relied on mobile phones for affiliational, emotional, informational, and instrumental support, though some did share they found some aspects of mobile phones triggering. <b><i>Conclusion:</i></b> These findings highlight the importance of treatment providers engaging in conversations around mobile phone use to help individuals avoid triggers and connect with social supports. These findings uncover new opportunities for recovery support interventions utilizing mobile phones as a delivery mechanism.