cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-s1ym-0b32
title: Compressibility-Based Interpretation of Cone Penetrometer Calibration Chamber Tests and Corresponding Boundary Effects

description: Calibration chambers have been used to calibrate in situ testing devices (e.g., standard penetration test, cone penetration test, and flat plate dilatometer) in laboratory settings. Researchers have long suggested, however, that penetration resistance measured in a calibration chamber differs from what would be measured under similar conditions in the free field due to the finite chamber size and chamber boundary conditions. Using a database of 847 cone penetration tests performed in sand-filled calibration chambers, this paper reexamines assumptions used to interpret tests and boundary effects, analyzes the efficacy of published calibration chamber correction factors, and provides a novel framework for interpreting calibration chamber data based on soil compressibility. This study suggests that (1) trends in cone tip resistance are relatively unaffected by boundary effects; (2) factors used to correct calibration chamber cone tip resistance to an equivalent free-field value only marginally improved the correlations/trends; and (3) cone tip resistance is similar for soils of equally similar compressibility, density, and effective confining stress. The authors suggest that calibration chamber data may not require corrections for chamber size or boundary conditions so long as a ratio of chamber diameter to cone penetrometer diameter of 20 is satisfied.
DOI: 10.25378/janelia.13117586
title: Automatic segmentation of organelles in isotropic electron microscopy data of wild-type, interphase HeLa cell (jrc_hela-3)

description: The cell interior contains hundreds of different organelle and macromolecular assemblies intricately organized relative to each other to meet any cellular demand. Obtaining a complete understanding of this organization is challenging and requires nanometer-level, three-dimensional reconstruction of whole cells. Even then, the immense size of datasets and large number of structures to be characterized requires generalizable, automatic methods. To overcome this challenge, we developed an analysis pipeline for comprehensively reconstructing and analyzing all known cellular organelles from entire cells imaged by focused ion beam scanning electron microscopy (FIB-SEM) at a near-isotropic size of 4 or 8 nm per voxel. The pipeline involved deep learning architectures trained on diverse samples for automatic reconstruction of 35 different cellular organelle classes - ranging from ER to microtubules to ribosomes - from multiple cell types. Automatic reconstructions were used to directly quantify various previously inaccessible metrics about these structures and their spatial interactions. We show that automatic organelle reconstructions can also be used to automatically register light and electron microscopy images for correlative studies. The data, computer code, and trained models are all shared through an open data and open source web platform OpenOrganelle, enabling scientists everywhere to query and further reconstruct the datasets.Sample: Wild-type, interphase HeLa cell (ATCC CCL-2).Dataset ID: jrc_hela-3EM Data DOI: 10.25378/janelia.13114244EM voxel size (nm): 4.0 x 4.0 x 4.0 (X, Y, Z)Segmentation voxel size (nm): 4.0 x 4.0 x 4.0 (X, Y, Z)Dataset URL: S3://janelia-cosem-datasets/jrc_hela-3/jrc_hela-3.n5/labels/Visualization Website: https://openorganelle.janelia.org/datasets/jrc_hela-3Publication: Heinrich et el., 2020Segmented Organelles: Centrosome (A600k), Centrosome D App (A900k), Chromatin (A825k), ECS (F725k), Endo (M925k), Endo mem (M1025k), ER (A1075k), ER mem (A625k), ERES (M750k), Golgi (F650k), Golgi mem (F650k), N-H Chrom (A600k), LD (A925k), LD mem (A625k), Lyso (A1125k), Lyso mem (A700k), MT (F1300k), MT out (F1300k), Mito (A825k), Mito mem (A925k), NE (A1150k), NE mem (A1150k), NP (A1075k), NP out (A975k), Nucleolus (A600k), Nucleus (M625k), PM (M650k), Ribo (A1200k), Vesicle (F675k), Vesicle mem (F575k)Included in Dataset: manual annotations, predictions, segmentations
DOI: 10.25378/janelia.13117586.v1
title: Automatic segmentation of organelles in isotropic electron microscopy data of wild-type, interphase HeLa cell (jrc_hela-3)

description: The cell interior contains hundreds of different organelle and macromolecular assemblies intricately organized relative to each other to meet any cellular demand. Obtaining a complete understanding of this organization is challenging and requires nanometer-level, three-dimensional reconstruction of whole cells. Even then, the immense size of datasets and large number of structures to be characterized requires generalizable, automatic methods. To overcome this challenge, we developed an analysis pipeline for comprehensively reconstructing and analyzing all known cellular organelles from entire cells imaged by focused ion beam scanning electron microscopy (FIB-SEM) at a near-isotropic size of 4 or 8 nm per voxel. The pipeline involved deep learning architectures trained on diverse samples for automatic reconstruction of 35 different cellular organelle classes - ranging from ER to microtubules to ribosomes - from multiple cell types. Automatic reconstructions were used to directly quantify various previously inaccessible metrics about these structures and their spatial interactions. We show that automatic organelle reconstructions can also be used to automatically register light and electron microscopy images for correlative studies. The data, computer code, and trained models are all shared through an open data and open source web platform OpenOrganelle, enabling scientists everywhere to query and further reconstruct the datasets.Sample: Wild-type, interphase HeLa cell (ATCC CCL-2).Dataset ID: jrc_hela-3EM Data DOI: 10.25378/janelia.13114244EM voxel size (nm): 4.0 x 4.0 x 4.0 (X, Y, Z)Segmentation voxel size (nm): 4.0 x 4.0 x 4.0 (X, Y, Z)Dataset URL: S3://janelia-cosem-datasets/jrc_hela-3/jrc_hela-3.n5/labels/Visualization Website: https://openorganelle.janelia.org/datasets/jrc_hela-3Publication: Heinrich et el., 2020Segmented Organelles: Centrosome (A600k), Centrosome D App (A900k), Chromatin (A825k), ECS (F725k), Endo (M925k), Endo mem (M1025k), ER (A1075k), ER mem (A625k), ERES (M750k), Golgi (F650k), Golgi mem (F650k), N-H Chrom (A600k), LD (A925k), LD mem (A625k), Lyso (A1125k), Lyso mem (A700k), MT (F1300k), MT out (F1300k), Mito (A825k), Mito mem (A925k), NE (A1150k), NE mem (A1150k), NP (A1075k), NP out (A975k), Nucleolus (A600k), Nucleus (M625k), PM (M650k), Ribo (A1200k), Vesicle (F675k), Vesicle mem (F575k)Included in Dataset: manual annotations, predictions, segmentations
DOI: 10.17603/ds2-2wys-cx11
title: Comparing Social Vulnerability and Population Loss in Puerto Rico after Hurricane Maria

description: This project compares social vulnerability to population change in Puerto Rico after Hurricane María in 2017, finding that more vulnerable areas lost greater proportions of their population. It uses the original 2016 Social Vulnerability Index (SVI) for Puerto Rico, published as open data by the U.S. Centers for Disease Control and Prevention (CDC), to create a revised version of the index using only 10 variables (SVI-10) based on exploratory factor analysis. Notably, the revised SVI-10 does not include variables for "minority status" or "English language proficiency" as the assumed relationship of these variables to social vulnerability does not hold in Puerto Rico. Compared to the original SVI, the revised SVI-10 was found to be more strongly associated with variations in population loss at the census tract level in Puerto Rico, after controlling for hazard intensity using a spatial average for peak wind speed. These data may be used to compare the SVI-10 to population change or other variables of interest in Puerto Rico. In some cases, the SVI-10 may be used as an alternative to the original 2016 SVI for Puerto Rico. 
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This published dataset contains original variables from the CDC's 2016 Social Vulnerability Index for Puerto Rico, including census tract identifiers for the 884 included tracts, the 15 vulnerability indicators, the overall SVI, and the four sub-themes of the SVI. For more information on these variables, please see the documentation at https://www.atsdr.cdc.gov/placeandhealth/svi/documentation/SVI_documentation_2016.html. The dataset then includes the following variables: average peak wind speed in each tract (windspeed), total 2018 population (totpop18), population change from 2016-2018 (popchg), percent population change from 2016-2018 (pctchg), and the new SVI-10 measure (SVI_10).
DOI: 10.17603/ds2-3b7s-yw72
title: Eastern Canada Earthquake Ground Motion and Site Characterization Database

description: This project provides an earthquake ground motion and site characterization database for 3358 earthquake with moment magnitude ≥ 1.5 within 150 kilometers of 25 seismic stations in eastern Canada. The data can be utilized to study near source ground motions. We provide a unique database which considers only earthquakes near to the source for earthquake moment magnitudes ranging from 1.5 to 5.5. A readme file is provided with the data and a data report can be accessed through Related Work.
DOI: 10.17603/ds2-8nyb-dm44
title: Large scale testing for roof overhangs aerodynamic pressure distribution using the wall of wind experimental facility
title: in Wind induced loads on hip roof overhangs of low rise building

description: Roof overhangs were tested by installing pressure taps along both the upper and lower surface and the underneath walls. The outcome was the pressure coefficient among the surfaces of walls, soffit and overhangs that can be used for many statistical analysis or calculating peak pressure along the surface to calculate wind loads or uplift forces.
description: The Laboratory for Wind Engineering Research (LWER) of the Extreme Events Institute (EEI) at Florida International University (FIU) was commissioned by the Florida Building Commission / Florida Department of Business and Professional Regulation to investigate the wind-induced loads on roof overhangs of low-rise residential buildings. The large-scale experimental campaign was carried out at the Wall of Wind (WOW) Research Experimental Facility. The setup comprises of two 1:10 scaled model configurations (2 ft and 6 ft inclined overhangs) of a low-rise hip roof building with roof slope 4:12. 
Data in this project can be used for statistical analysis for roof overhangs of hip roof, or a comparison between large scale testing and small scale testing, and a reference for studying the behavior of overhangs, walls and soffit for any other roof type rather than the hip roof. In addition, the relation between the soffits and the walls can be driven from the data by analyzing the mean pressure coefficient and getting the peak Cp by utilizing regression and correlation analysis.
This project is unique because it is the first time to conduct a large scale testing to study the wind induced loads on roof overhangs. Moreover, the large scale testing gave the privilege to install high resolution pressure taps for capturing the pressure all over the surface. 
The audiences are anyone interested in wind tunnel testing for components and cladding of low rise buildings, building commissions, and structural engineers.
DOI: 10.17603/ds2-mmhr-td76
title: Social Science Methods: In-Depth, Semi-Structured Interviews—CONVERGE Extreme Events Research Check Sheets Series

description: This check sheet outlines important considerations for researchers who wish to conduct in-depth, semi-structured interviews. Strategies for developing an interview guide, recruiting participants, and building trust and rapport are included. About the CONVERGE Extreme Events Research Check Sheets Series: The National Science Foundation-supported CONVERGE facility at the Natural Hazards Center at the University of Colorado Boulder has developed a series of short, graphical check sheets that are meant to be used as researchers design their studies, prepare to enter the field, conduct field research, and exit the field. The series offers best practices for extreme events research and includes check sheets that are free to the research community. More information is available at: https://converge.colorado.edu/resources/check-sheets.
DOI: 10.17603/ds2-x1h6-5q39
title: Suitability of Panoramic Photographs for Developing Structure-from-Motion Models

description: This project examines the possibilities and limitations associated with using panoramic images to develop structure-from-motion models with the photogrammetry software Pix4DMapper. The documents created from this project are intended to be used by anyone considering how they want to create structure-from-motion models. The information in this project will help researchers decide whether panoramic images are appropriate for their goals and what software settings should be used. This project is unique in that structure-from-motion models are usually developed with images from non-panoramic cameras mounted onto drones. This project explores the use of spherical cameras mounted onto cars or backpacks as a mean of data collection for models.
DOI: 10.17603/ds2-2k0d-3e48
title: Exploration of Dynamics through 3-D Printed Designs
title: in 3D-Printing Dynamics Design (3D3) Competition – Fall 2022

description: The 3D-printing Dynamics Design (3D3) Competition intends to train School of Civil Engineering & Environmental Science (CEES) undergraduates at the University of Oklahoma in fundamental concepts related to vibrations, structural dynamics, and earthquake engineering through a semester-long, hands-on competition run in parallel with Introduction to Dynamics for Architectural and Civil Engineers (CEES 3263). Competition participants, or 3D3 Scholars, design, build, and test a bench-scale shake table using 3D-printed components. The designs of these shake tables are published here, along with all the STL files needed for teachers or students elsewhere to fabricate the tables. Also, the data collected during the challenges is published.
description: This project intends to explore dynamic concepts through the use of 3-D printed models. The project is divided into 3 challenges. The first challenge explores rotational dynamics through the development of a 3-D printed wheel. The second challenge, compounding on the dynamics explored in the previous, explores reciprocating motion through the development of a 3-D printed table-top shake table. The final challenge explores structural dynamics through the development of columns for a single-story building. This report describes the models and published data that can be used by others for structural dynamics training.
DOI: 10.17603/ds2-gpt6-jx64
title: Database for Softened Membrane Model for Shear of UHPC
title: in Database for UHPC Simulations

description: This dataset includes the MATLAB scripts used to code the Softened Membrane Model for Ultra-High-Performance Concrete (SMM-UHPC). The SMM-UHPC is an extension of the SMM originally developed to simulate the in-plane shear behavior of reinforced concrete members. The dataset includes input and output data presented in the paper "Softened Membrane Model for Shear of Ultra-High-Performance Concrete (SMM-UHPC)" which was published by the Engineering Structures Journal in 2024 (https://doi.org/10.1016/j.engstruct.2024.117956). Along with the inputs and outputs from the journal paper, a generic SMM-UHPC code is included along with user instructions in a PowerPoint format. The SMM-UHPC scripts included herein can be used to simulate the behavior of UHPC under pure shear or shear combined with axial loads (compression or tension). Users of these scripts are advised that the accuracy of SMM-UHPC depends on using dependable tensile stress-strain data as model input. This data should preferably be obtained by averaging sets of direct tension prism tests per AASHTO T397.
description: Description | This dataset includes the MATLAB scripts used to code the Softened Membrane Model for Ultra-High-Performance Concrete (SMM-UHPC). The SMM-UHPC is an extension of the SMM originally developed to simulate the in-plane shear behavior of reinforced concrete members. The dataset includes input and output data presented in the paper "Softened Membrane Model for Shear of Ultra-High-Performance Concrete (SMM-UHPC)" which was published by the Engineering Structures Journal in 2024 (https://doi.org/10.1016/j.engstruct.2024.117956). Along with the inputs and outputs from the journal paper, a generic SMM-UHPC code is included along with user instructions in a PowerPoint format. The SMM-UHPC scripts included herein can be used to simulate the behavior of UHPC under pure shear or shear combined with axial loads (compression or tension). Users of these scripts are advised that the accuracy of SMM-UHPC depends on using dependable tensile stress-strain data as model input. This data should preferably be obtained by averaging sets of direct tension prism tests per AASHTO T397.
DOI: 10.17603/ds2-jwf6-s535
title: Detailed Household and Housing Unit Characteristics: Data and Replication Code

description: People are the most important part of community resilience planning. However, models for community resilience planning tend to focus on buildings and infrastructure. This project provides a solution that connects people to buildings for community resilience models. The housing unit inventory method transforms aggregated population data into disaggregated housing unit data that includes occupied and vacant housing unit characteristics. Detailed household characteristics include size, race, ethnicity, income, group quarters type, vacancy type and census block. Applications use the housing unit allocation method to assign the housing unit inventory to structures within each census block through a reproducible and randomized process. The benefits of the housing unit inventory include community resilience statistics that intersect detailed population characteristics with hazard impacts on infrastructure; uncertainty propagation; and a means to identify gaps in infrastructure data such as limited building data. This project archives example data and links to the replication python code files. Python is an open source programming language and the code files provide future users with the tools to generate a 2010 housing unit inventory for any county in the United States. The method archived is reproducible, generalizable, and that the characteristics included provide a valid representation of the social and economic characteristics of a community's population in 2010. Applications of the method are reproducible in IN-CORE (Interdependent Networked Community Resilience Modeling Environment).
DOI: 10.17603/ds2-k0rq-s232
title: Reinforced Concrete Coupling Beams with High-Strength Steel Bars
title: in Reinforced Concrete Coupling Beams with High-Strength Steel Bars

description: The use of high-strength steel bars in reinforced concrete coupling beams has the potential to reduce reinforcement congestion and support more efficient design and construction methods. A series of tests was conducted to investigate the effects of high-strength reinforcement on coupling beam behavior.

 

Eleven large-scale coupling beam specimens were tested under fully reversed cyclic displacements of increasing magnitude. The main variables of the test program included: yield stress of the primary longitudinal reinforcement (Grades 80, 100, and 120 [550, 690, and 830]), span-to-depth (aspect) ratio (1.5, 2.5, and 3.5), and layout of the primary longitudinal reinforcement (diagonal [D] and parallel [P]). All beams had the same nominal concrete compressive strength (8,000 psi [55 MPa]) and cross-sectional dimensions (12 by 18 in. [310 by 460 mm]). Beams were designed for target shear stresses of 8√𝑓'𝑐 psi (0.67√𝑓'𝑐 MPa) for D-type beams and 6√𝑓'𝑐 psi (0.5√𝑓'𝑐 MPa) for P-type beams. Transverse reinforcement was Grade 80 (550) in all but one beam, which had Grade 120 (830) reinforcement.


 
The test program is documented by presenting the details of specimen construction, test setup, instrumentation, and loading protocol. Documentation of test data includes material properties, cyclic force-deformation response, progression of damage, calculated and measured strengths, initial stiffness, and measured reinforcement strains. Analysis of test data includes hysteretic energy, changes in beam length and depth, components of chord rotation, and the development of an equation for estimating chord rotation capacity.

 

These data were recorded as part of the following research project:
Weber-Kamin, A. S., Lequesne, R. D., and Lepage, A., “Reinforced Concrete Coupling Beams with High-Strength Steel Bars,” SM Report No. 143, The University of Kansas Center for Research, Inc., Lawrence, KS, August 2020, 598 pp.

https://iri.ku.edu/sites/iri.ku.edu/files/files/pdf/publications/reports/SM143.pdf



                           
http://hdl.handle.net/1808/30647
description: A series of tests was conducted to investigate the effects of high-strength reinforcement on coupling beam behavior.

Eleven large-scale coupling beam specimens were tested under fully reversed cyclic displacements of increasing magnitude. The main variables of the test program included: yield stress of the primary longitudinal reinforcement (Grades 80, 100, and 120 [550, 690, and 830]), span-to-depth (aspect) ratio (1.5, 2.5, and 3.5), and layout of the primary longitudinal reinforcement (diagonal [D] and parallel [P]).
DOI: 10.17603/ds2-n0wx-e932
title: Research Experiences for Undergraduates (REU), NHERI 2023: Understanding and Mitigating Wind Effects on Low-Rise Building Roofs

description: Current research to reduce the harm created by hurricanes involves a mitigation plan in the formation of an Aerodynamics Mitigation and Power System (AMPS) (US Patent, Gan Chowdhury et al., Patent Number: US 9,951,752 B2, April 2018) designed to reduce wind damage and provide power to buildings simultaneously. The AMPS project will be reused in the future for electrical energy production, the configuration will be examined for power generation efficiency; ongoing research at FIU in the WoW EF lab. This project is unique it will have a tremendous impact as it has already been by disrupting the corner vortices generated on the roofs of low-rise buildings by high winds during hurricanes; moving on forward with the production of energy. The targeted audience is future wind engineers and coastal community residents/ mankind.
DOI: 10.17603/ds2-t38h-9603
title: Roof Subassembly Damage Detection - Image Datasets

description: This publication provides datasets employed in training and testing classification models and a semantic segmentation model designed for quantifying hurricane-induced damage to residential roof subassemblies. These datasets specifically characterize residential properties in Calcasieu Parish, Louisiana. For classification models, images are organized into their ground truth classes and placed in their respective train/test subdirectories. For our segmentation data, each subdirectory contains a collection of images (in .jpeg or .png format), corresponding ground truth masks (.png), and a metadata file (.csv). These resources can be reused for training damage detection models or can be integrated with custom, compatible datasets. Datasets depict damage to residential homes from Hurricane Laura. Raw training image data was sourced from NOAA's National Geodetic Survey's emergency response imagery database while test data was curated from NOAA and the Calcasieu Parish police jury's GIS portal. Ground truth annotation masks were created using the open-source Label Studio software.