cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/64ry38sfkw.1
title: Supplementary data for "Application of AI failure identification techniques in condition monitoring using wavelet analysis"

description: Source code for the paper "Application of AI failure identification techniques in condition monitoring using wavelet analysis"
DOI: 10.17632/64ry38sfkw.2
title: Supplementary data for "Application of AI failure identification techniques in condition monitoring using wavelet analysis"

description: Source code for the paper "Application of AI failure identification techniques in condition monitoring using wavelet analysis"
DOI: 10.17632/xm92bw2f49.1
title: Geoprocess of geospatial urban data in Tallinn, Estonia (Images)

description: All figures of the article titled: Geoprocess of geospatial urban data in Tallinn, Estonia
DOI: 10.17632/n3d8z8v7v6.1
title: Association between lichen sclerosus and thyroid disease

description: Supplementary data
DOI: 10.17632/p9ssvv59mx.1
title: Water salinity and pH effect on invasive quagga mussel survival, growth, and reproduction

description: This data contains the results of seminatural experiments under temperature and light-controlled conditions to investigate quagga mussel survival, growth, and reproduction in salinity (fresh to brackish) and pH (8.4-11) gradients. Mussels were collected from Lake Mead (AZ-NV, USA), and unadulterated Lake Mead water was used as a positive control. We also collected water from two locations at Pyramid Lake (NV, USA) (brackish) and one location at the Truckee River (NV, USA) (fresh).
DOI: 10.17632/35m3vs489g.1
title: Data from Socially cued anticipatory plasticity predicts male primary mating tactic but not mating behaviour rates

description: Data from Socially cued anticipatory plasticity predicts male primary mating tactic but not mating behaviour rates
DOI: 10.17632/bvryp9v4fj.1
title: MicrobioPsy dataset

description: Human and mouse datasets of the MicrobioPsy study.
DOI: 10.17632/zykyrtg36g.2
title: Southern California 60-cm Urban Land Cover Classification 

description: This dataset represents a high resolution urban land cover classification map across the southern California Air Basin (SoCAB) with a spatial resolution of 60 cm in urban regions and 10 m in non-urban regions. This map was developed to support NASA JPL-based urban biospheric CO2 modeling in Los Angeles, CA. Land cover classification was derived from a novel fusion of Sentinel-2 (10-60 m x 10-60 m) and 2016 NAIP (60 cm x 60 cm) imagery and provides identification of impervious surface, non-photosynthetic vegetation, shrub, tree, grass, pools and lakes. 

Land Cover Classes in .tif file: 
0: Impervious surface
1: Tree (mixed evergreen/deciduous)
2: Grass (assumed irrigated)
3: Shrub
4: Non-photosynthetic vegetation
5: Water (masked using MNDWI/NDWI)

Google Earth Engine interactive app displaying this map: https://wcoleman.users.earthengine.app/view/socab-irrigated-classification 

A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.
DOI: 10.17632/hp8j8mtdmx.1
title: Pb isotopic data of the Pearl River

description: Pb isotopic data of the Pearl River
DOI: 10.6084/m9.figshare.13385465
title: Genetic diversity and variation in antimicrobial-resistance determinants of non-serotype 2 Streptococcus suis isolates from healthy pigs

description: <em>Streptococcus suis </em>is a leading cause of bacterial meningitis in South-East Asia, with frequent zoonotic transfer to humans associated with close contact with pigs. A small number of invasive lineages are responsible for endemic infection in the swine industry, causing considerable global economic losses. A lack of surveillance and a rising trend in clinical treatment failure has raised concerns of growing antimicrobial resistance (AMR) among invasive <em>S. suis</em>. Gene flow between healthy and disease isolates is poorly understood and, in this study, we sample and sequence a collection of isolates predominantly from healthy pigs in Chiang Mai province, Northern Thailand. Pangenome characterization identified extensive genetic diversity and frequent AMR carriage in isolates from healthy pigs. Multiple AMR genes were identified, conferring resistance to aminoglycosides, lin- cosamides, tetracycline and macrolides. All isolates were non-susceptible to three or more different antimicrobial classes, and 75% of non-serotype 2 isolates were non-susceptible to six or more classes (compared to 37.5% of serotype 2 isolates). AMR genes were found on integrative and conjugative elements previously observed in other species, suggesting a mobile gene pool that can be accessed by invasive disease isolates.
DOI: 10.6084/m9.figshare.13385465.v1
title: Non-serotype 2 Streptococcus suis isolates are a potential reservoir of AMR in Northern Thailand

description: Streptococcus suis is an important emerging zoonotic agent causing severe infection in humans, as well as causing global economic loss problems in the swine industry. Consumption of undercooked or improperly prepared pork meat or close proximity to pigs is generally believed to be the cause of most human zoonotic infections. An additional issue resides in the possible spread of antimicrobial resistance (AMR) genes across hosts during zoonotic infection. To date, this has not been examined extensively in S. suis isolates from South East Asia. In this study, 36 strains of S. suis were recovered from infected humans, from diseased pigs, and from healthy pigs in Chiang Mai province, Northern Thailand in 2015, and their genomes were sequenced. Despite &gt;22% (8/36) of these isolates being from serotype 2, a clinically important lineage particularly associated with human pathogenesis worldwide, AMR carriage was more diverse and frequent in non-serovar 2 porcine isolates, with aadE, ant(6)-la, aph(3')-III, erm(A), erm(B), erm(T), mef(A), msr(D), lnu(B), lnu(C), tet(L), tet(O), optrA and catA8 mostly found in isolates from healthy rather than diseased animals. Overall, 75% (21/28) of all non-serotype 2 pig isolates carried &gt;3 resistance genes, which was a much higher proportion than in serotype 2-strains (12.5%). Six plasmids, including pLFE1, pBM407, pAMbeta, Col440II, pLW043, and pCW7, were detected in 39.3% of non-serotype 2 isolates but absent in all serotype 2. β-lactam resistance genes were unexpectedly absent. We found the catA8 gene in a non-serotype 2 isolate from clinical healthy pig, which is, to our knowledge, the first report of the chloramphenicol resistance gene-catA8 in S. suis. In conclusion, many of the research focus is justifiably placed on S. suis isolates from serotype 2 due to their higher prevalence in human infection. However, our study indicates that non-serovar 2 S. suis isolates from farm animals should be considered as an important antimicrobial resistance reservoir for zoonotic S. suis and other clinically relevant streptococci.
DOI: 10.17632/x2zmf7z2zw.1
title: Southern California 30 m Irrigated Vegetation Map

description: This dataset represents a high-resolution irrigated land use map across the Southern California Air Basin (SoCAB) with a spatial resolution of 30 m. This map was developed to support urban biospheric CO2 and hydrological modeling in Los Angeles, CA. The map distinguishes between irrigated and non-irrigated vegetation and masks out all non-vegetated surfaces in SoCAB. The land use map was derived from a combination of vegetation-fraction weighted ECOSTRESS land surface temperature (LST) imagery and Landsat-8 optical imagery. Band 1: Irrigated vegetation classification (0 = non-vegetation, 1 = irrigated vegetation, 2 = non-irrigated vegetation) Band 2: Irrigated vegetation classification uncertainty (e.g., 0.65 = 65% confident that the supervised classification model correctly predicted a pixel was irrigated or non-irrigated) A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.
DOI: 10.17632/x2zmf7z2zw.2
title: Southern California 30 m Irrigated Vegetation Map

description: This dataset represents a high-resolution irrigated land use map across the Southern California Air Basin (SoCAB) with a spatial resolution of 30 m. This map was developed to support urban biospheric CO2 and hydrological modeling in Los Angeles, CA. The map distinguishes between irrigated and non-irrigated vegetation and masks out all non-vegetated surfaces in SoCAB. The land use map was derived from a combination of vegetation-fraction weighted ECOSTRESS land surface temperature (LST) imagery and Landsat-8 optical imagery. Band 1: Irrigated vegetation classification (0 = non-vegetation, 1 = irrigated vegetation, 2 = non-irrigated vegetation) Band 2: Irrigated vegetation classification uncertainty (e.g., 0.65 = 65% confident that the supervised classification model correctly predicted a pixel was irrigated or non-irrigated) A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.
DOI: 10.17632/x2zmf7z2zw.3
title: Southern California 30 m Irrigated Vegetation Map 

description: This dataset represents a high-resolution irrigated land use map across the Southern California Air Basin (SoCAB) with a spatial resolution of 30 m. This map was developed to support urban biospheric CO2 and hydrological modeling in Los Angeles, CA. The map distinguishes between irrigated and non-irrigated vegetation and masks out all non-vegetated surfaces in SoCAB. The land use map was derived from a combination of vegetation-fraction weighted ECOSTRESS land surface temperature (LST) imagery and Landsat-8 optical imagery. 

Band 1: Irrigated vegetation classification (0 = non-vegetation, 1 = irrigated vegetation, 2 = non-irrigated vegetation) 
Band 2: Irrigated vegetation classification uncertainty (e.g., 0.65 = 65% confident that the supervised classification model correctly predicted a pixel was irrigated or non-irrigated)

Google Earth Engine interactive app displaying this map: https://wcoleman.users.earthengine.app/view/socab-irrigated-classification 

A portion of this research was carried out at the Jet Propulsion Laboratory, California Institute of Technology, under a contract with the National Aeronautics and Space Administration. Support from the Earth Science Division OCO-2 program is acknowledged. Copyright 2020. All rights reserved.
DOI: 10.17632/7xwgk8vykz.1
title: Proteome of human macrophages exposed to ionizing radiation - part 2

description: Human monocyte-derived macrophages were exposed to 2 Gy/ fraction/ day for 5 days. A shotgun proteomics approach, combined with 8-plex iTRAQ tags, was employed.
DOI: 10.17632/pc69rcs94y.1
title: Optimizing Submersible Pump Regulation of a Clogging Prone Groundwater Heat Pump System in Melhus, Norway

description: Monitoring data between 2019 and 2022 from the Lena terrasse groundwater heat pump (GWHP) system in Melhus, Norway, including hydraulic and thermal monitoring data (daily median), COP, step discharge tests and water quality data. 
Please refer to the technical note below for metadata:
Stenvik, L. A., Ramstad, R. K., & Frengstad, B. S. (accepted). Optimizing Submersible Pump Regulation of a Clogging Prone Groundwater Heat Pump System in Melhus, Norway. Science and Technology for the Built Environment. doi:10.1080/23744731.2022.2136901
DOI: 10.17632/f8mj5ftjr4.1
title: Proteome of human macrophages exposed to ionizing radiation - part 1

description: Human monocyte-derived macrophages were exposed to 2 Gy/ fraction/ day for 5 days. A shotgun proteomics approach, combined with 8-plex iTRAQ tags, was employed.
DOI: 10.17632/72gjb45yjv.1
title: A study of BRCA1 mediates protein homeostasis through ubiquitination of PERK and IRE1. Hromas et al.

description: This file includes the raw data of all unprocessed Western blot membrane scans used to generate the primary and supplemental figures that contain Western blot images (protein expression, IP and co-IP reactions).
DOI: 10.6084/m9.figshare.21482397
title: IED Incidence and probs of the IEEE systems

description: Incidence of bus-IED-line for the IEEE RTS 24-bus and 57-bus systems <br> Intrusion probabilities of the substations for the IEEE RTS 24-bus and 57-bus systems
DOI: 10.6084/m9.figshare.19394051
title: Eight-and-a-Half Syndrome Secondary to Neurotoxoplasmosis: A Rare Case Report

description: Eight-and-a-half syndrome (EHS) is a neuro-ophthalmological condition characterised by horizontal gaze palsy, internuclear ophthalmoplegia, and ipsilateral facial palsy. Albeit rare, EHS is a well reported condition in the literature, with several reports presenting multiple aetiologies. Infarcts are the cause in more than half the cases. Human immunodeficiency virus (HIV)-related cases are rare, and are probably underreported in low- and middle-income countries. In this report, we describe EHS secondary to neurotoxoplasmosis in a 40-year-old HIV-positive Brazilian man. EHS secondary to neurotoxoplasmosis is a challenging diagnosis, with important differential diagnoses, notably for HIV patients.
DOI: 10.6084/m9.figshare.19394051.v1
title: Eight-and-a-Half Syndrome Secondary to Neurotoxoplasmosis: A Rare Case Report

description: Eight-and-a-half syndrome (EHS) is a neuro-ophthalmological condition characterised by horizontal gaze palsy, internuclear ophthalmoplegia, and ipsilateral facial palsy. Albeit rare, EHS is a well reported condition in the literature, with several reports presenting multiple aetiologies. Infarcts are the cause in more than half the cases. Human immunodeficiency virus (HIV)-related cases are rare, and are probably underreported in low- and middle-income countries. In this report, we describe EHS secondary to neurotoxoplasmosis in a 40-year-old HIV-positive Brazilian man. EHS secondary to neurotoxoplasmosis is a challenging diagnosis, with important differential diagnoses, notably for HIV patients.
DOI: 10.6084/m9.figshare.19833522
title: Reversible Bitemporal Hemihypokinetic Pupil Without Hemianopia: A New Chiasmal Sign

description: Chiasmal syndromes present mostly with visual problems, such as changes in visual fields, decreased visual acuity, or dyschromatopsia (and classically without pupillary reflex defects). The prototypical bitemporal hemianopia upon visual field testing can easily suggest chiasmal compression due to sellar/suprasellar involvement. However, because of the complexity of the decussation of fibres at the optic chiasm and the presence of anatomical variants, unpredictable visual fields defects can be detected in chiasmal diseases. In some patients, especially in those who have undergone neurosurgical procedures, visual field examination and neuroimaging may not completely reflect the classical pattern of chiasmal visual loss. We describe a novel semiological sign, reporting a patient in which a pupillary bitemporal hemihypokinesia was not accompanied by hemianopia, with the phenomenon being abolished by surgical resection of the causative pituitary macroadenoma. In addition, this finding was an important tool in making the diagnosis.
DOI: 10.6084/m9.figshare.19833522.v1
title: Reversible Bitemporal Hemihypokinetic Pupil Without Hemianopia: A New Chiasmal Sign

description: Chiasmal syndromes present mostly with visual problems, such as changes in visual fields, decreased visual acuity, or dyschromatopsia (and classically without pupillary reflex defects). The prototypical bitemporal hemianopia upon visual field testing can easily suggest chiasmal compression due to sellar/suprasellar involvement. However, because of the complexity of the decussation of fibres at the optic chiasm and the presence of anatomical variants, unpredictable visual fields defects can be detected in chiasmal diseases. In some patients, especially in those who have undergone neurosurgical procedures, visual field examination and neuroimaging may not completely reflect the classical pattern of chiasmal visual loss. We describe a novel semiological sign, reporting a patient in which a pupillary bitemporal hemihypokinesia was not accompanied by hemianopia, with the phenomenon being abolished by surgical resection of the causative pituitary macroadenoma. In addition, this finding was an important tool in making the diagnosis.
DOI: 10.6084/m9.figshare.19686453.v1
title: RNA-seq Titration Results used in plotting for "Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously"

description: This data accompanies the manuscript "Cross-platform normalization enables machine learning model training on microarray and RNA-seq data simultaneously" by Foltz, Taroni, and Greene. Please refer to our github page. <br> The file contains all data necessary to recreate the main and supplementary figures in our manuscript. <br> Abstract: Large compendia of gene expression data have proven valuable for the discovery of novel biological relationships. Historically, the majority of available RNA assays were run on microarray, while RNA-seq has become the platform of choice for many new experiments. The data structure and distributions between the platforms differ, making it challenging to combine them. Here we perform supervised and unsupervised machine learning evaluations, as well as differential expression analyses, to assess which normalization methods are best suited for combining microarray and RNA-seq data. We find that quantile and Training Distribution Matching normalization allow for supervised and unsupervised model training on microarray and RNA-seq data simultaneously. Nonparanormal normalization and z-scores are also appropriate for some applications, including differential expression analysis. We demonstrate that it is possible to perform effective cross-platform normalization and combine microarray and RNA-seq data for machine learning applications.
DOI: 10.5281/zenodo.6448373
title: Data analysis results for: "MoDLE: High-performance stochastic modeling of DNA loop extrusion interactions"

description: Due to technical issues we are unable to upload the updated version of this dataset on Zenodo.<br> <br> The latest version of this dataset can be found on the NRID research data archive at DOI 10.11582/2022.00056.
DOI: 10.5281/zenodo.6448374
title: Data analysis results for: "MoDLE: High-performance stochastic modeling of DNA loop extrusion interactions"

description: This release contains the data produced by code hosted on github.com/paulsengroup/2021-modle-paper-001-data-analysis and archived on Zenodo (10.5281/zenodo.6425490).<br> This data and the code used to generate it is published in support of the following preprint:<br> MoDLE: High-performance stochastic modeling of DNA loop extrusion interactions (https://doi.org/10.1101/2022.04.13.488157). Each archive contains the output data produced by one of the workflows hosted on github.com/paulsengroup/2021-modle-paper-001-data-analysis. Furthermore, archives contain README files describing the archive layout and content. What follows is a brief description of the archives part of this upload: 2021-modle-paper-001-data-containers.tar.zst: archive of the containers used as part of the data analysis. Images are hosted on DockerHub and GHCR.io and are automatically downloaded by the workflows. This archive just serves as a backup in the remote possibility that the original images become unavailable. 2021-modle-paper-001-data-downloads.tar.zst: archive containing input files used by workflows for data analysis. Files are automatically downloaded by workflows when appropriate. This is archive is also a backup in case the files become unavailable. File URLs are available here, while file checksums can be found here. 2021-modle-paper-001-data-input.tar.zst: this archive contains the files produced by the fetch_data.nf workflow. 2021-modle-paper-001-data-output-benchmarks.tar.zst: archive containing the results of the performance benchmark. These files were produced by workflow run_benchmarks.nf. 2021-modle-paper-001-data-output-heatmap-comparison.tar.zst: archive containing the output of workflow make_heatmaps_comparison.nf. 2021-modle-paper-001-data-output-optimize-modle-sim-params.tar.zst: archive containing the output of the extrusion barrier parameter optimization carried out by workflow optimize_modle_sim_params.nf. 2021-modle-paper-001-data-output-preprocessing.tar.zst: archive containing the preprocessed input files. Preprocessing is carried out by workflow preprocess_data.nf.
DOI: 10.5281/zenodo.7074561
title: Data analysis results for: "MoDLE: High-performance stochastic modeling of DNA loop extrusion interactions"

description: Due to technical issues we are unable to upload the updated version of this dataset on Zenodo.<br> <br> The latest version of this dataset can be found on the NRID research data archive at DOI 10.11582/2022.00056.
DOI: 10.5281/zenodo.6525313
title: Spreadsheet validation for Flat slabs in eccentric punching shear experimental database and analysis

description: Eccentric punching shear can occur in concrete slab-column connections when the connection is subjected to shear and unbalanced moments. Unbalanced moments occur in all floor slabs at the edge and corner columns. As such, this problem is of practical relevance. However, most punching experiments in the literature deal with concentric punching shear at internal columns. This paper presents a developed database of 128 experiments of flat slabs under eccentric punching shear, including a summary of the testing procedure of each reference and a description of the slab specimens. Additionally, a linear finite element analysis of all the specimens is included to determine the relevant sectional shear forces and moments. Finally, the ultimate shear stresses from the database experiments are compared to the shear capacities determined with ACI 318-19, Eurocode 2, and the Model Code 2010. The comparison shows that the Model Code 2010 is the most precise in the predictions with an average tested-to-predicted ratio of 0.82 and a coefficient of variation of 29.63%. It can be concluded that improvements to the current design methods for eccentric punching shear are necessary.
DOI: 10.5281/zenodo.6532661
title: Spreadsheet validation for Flat slabs in eccentric punching shear experimental database and analysis

description: Eccentric punching shear can occur in concrete slab-column connections when the connection is subjected to shear and unbalanced moments. Typically, this situation results in edge and corner columns and is thus a common practical case. However, most punching experiments in the literature are concentric punching shear experiments. This paper presents a database of eighty-eight experiments on flat slabs under eccentric punching shear, including a summary of the testing procedure of each reference and a description of the slab specimens. Additionally, a linear finite element analysis of all the specimens is included to determine the relevant sectional shear forces and moments. Finally, the ultimate shear stresses from the database experiments are compared to the shear capacities determined with the ACI 318-19, Eurocode 2 NEN-EN 1992-1-1:2005, and the Model Code 2010. The result of this comparison shows that the Model Code 2010 is the most precise model with an average tested over the predicted shear ratio of 0.96 and a coefficient of variation of 27.96%. It can be concluded that this study represents the inconsistencies of the currently used methods and the lack of experimental information.