cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-v287-t615
title: Static and Dynamic  Structural Characterization Tests of Wave Basin Hydrodynamic Experiments of Scaled Wood Frame Shear-Wall Residential Buildings
title: in Progressive Damage and Failure of Wood-Frame Coastal Residential Structures Due to Hurricane Surge and Wave Forces

description: A physical model study was performed to examine the response of two 1:6 scale wood-frame coastal residential structures subjected to storm surge and waves. An on-grade and an elevated specimen were tested. Several in-air static and dynamic structural tests (combined lateral load-displacement and free vibration tests, ambient vibration and forced vibration tests) and destructive hydrodynamic tests under regular waves with varying water depth and wave heights were performed. During structural tests, lateral load-displacement and acceleration data were gathered for structural characterization (strength, stiffness, frequency, mode shape, and damping). During hydrodynamic tests, water depth, wave height, and velocity were measured in the wave basin and uplift pressure, force, and acceleration were measured on the specimens. The data gathered may help engineers and numerical modelers better understand the wave-structure interaction, damage progression, and help in improving design criteria of coastal residential structures subjected to hurricane overland surge and wave loading.
description: Several in-air experimental methods were performed in the Directional Wave Basin (DWB) at Oregon State University for structural characterization (strength, stiffness, frequency, mode shape, and damping) of an on-grade and an elevated light wood-frame coastal residential structure. These include combined lateral load-displacement and free vibration (pluck) tests, ambient vibration, and forced vibration tests. Load, displacement, and acceleration data were collected using load cells, string potentiometers, and accelerometers. These data along with hydrodynamic test data can help engineers and modelers with verification and validation of fluid-structure interaction modeling of coastal residential structures subjected to hurricane overland surge and wave loading.
DOI: 10.17603/ds2-45pf-c936
title: Reconnaissance Summary Report
title: in EERI 2019 Ridgecrest Earthquake Sequence Reconnaissance Report

description: The multi-disciplinary report includes sections on geosciences, geotechnical impacts, lifelines, structural impacts, emergency response, clearinghouse operations, and data collection methods and products.
description: As a managing partner of the California Earthquake Clearinghouse, EERI, along with the California Geological Survey, operated a physical clearinghouse location in Ridgecrest, CA following the M6.4 earthquake on July 4, 2019. Over the course of the week-long activation, the scientific and engineering communities came together in clearinghouse briefing calls to coordinate, collaborate, and share information. The Ridgecrest Earthquake Sequence Reconnaissance Report is a product of this community effort to document impacts and share lessons.The report captures reconnaissance findings from the first months following the main shock and includes sections from over 30 contributors. The multi-disciplinary report includes sections on geosciences, geotechnical impacts, lifelines, structural impacts, emergency response, clearinghouse operations, and data collection methods and products. The report features a close look at the extent of damage to manufactured homes, which emphasized the vulnerability of these structures, given the limited occurrence of damage to structures overall in the City of Ridgecrest. The report also includes several sections on data collection methods and products that show progress in collecting and coordinating post-earthquake data.
DOI: 10.17603/ds2-ety5-qv78
title: A Unified Multi-Event Windstorm Performance Testbed for Single-Family Residential Buildings

description: This project presents a synthesized multi-event WindStorm Performance Dataset (WiSPD). The WiSPD is currently comprised of 4 hurricanes (Harvey (2017), Irma (2017), Michael (2018), and Laura (2020)), and 4 tornadoes (Joplin, MO (2011), Garland-Rowlett, TX (2015), Cookville, TN (2020), and Nashville, TN (2020)), all of which struck in the United States. Each event’s building performance assessments were collected with similar methodologies and contain details such as location, physical address, basic building attributes, estimated 3-second gust wind speed, basic wind speeds for ASCE7-05, 7-10, and 7-16, and component-level damage ratios. These events were combined to create a single, uniform, living dataset of residential building performance, that is intended to be further extended, both in breadth and depth, through the addition of more storm events and building features as they are completed. This project provides version 1.0 of the WiSPD, along with the Python scripts used to create the unified dataset.
DOI: 10.17603/ds2-m2tz-6s84
title: Aeroelastic Testing of a standalone transmission tower with a height of  27.50m
title: in 186n-Downburst_Transmission_Tower

description: The prototype transmission tower adopted in this study was a steel double circuit vertical self-supported lattice tower with a 7.6 m by 2.7 m base (Length x Width) and 27.5 m height. The natural frequency of the tower in the longitudinal and transverse modes of vibration are 2.25 Hz and 5.10 Hz respectively.
description: Transmission Line Systems (TLSs) play a pivotal role in modern society by serving as the primary infrastructure for delivering electricity from power plants to residential buildings, healthcare facilities, and industrial zones. The extensive network of electricity transmission towers and power lines spans approximately 640,000 miles across the United States, ensuring nationwide electricity distribution. However, the lengthy nature of these systems makes them vulnerable to extreme weather events such as hurricanes, tornadoes, and downbursts. Downbursts are intense, localized columns of rapidly descending cold air originating from thunderstorm clouds generating powerful lateral winds upon reaching the ground that can cause severe structural damage to TLSs. Of many differences between atmospheric boundary layer (ABL) and downburst winds, the highest wind speed in a downburst event occurs 50m to 100 m above the ground surface, intensifying the wind effects on most structures, particularly TLSs. Additionally, the spatiotemporal effect of downbursts tremendously alters the wind loading on lengthy TLSs, potentially leading to structural failures and disruptions in the electricity supply chain.
A grounding step was to design a scaled transmission tower-insulator-conductor system with a geometric scale of  1:50 in the vertical direction and a distorted scale of 1:150 in the horizontal direction. This design was made in three steps: (1) designing and constructing a damaged transmission tower, (2) designing and constructing an undamaged transmission tower, and (3) incorporating the undamaged transmission tower into a TLS comprising three transmission towers. In each step, the model was tested under ABL and downburst winds, except in step (1), where the model was only tested under downburst winds, as shown in Figure 1. We also included two special test cases to heighten the realism level by simulating non-uniform loading and conductor breakage cases. These testing cases were conducted at NSF NHERI Wall of Wind Experimental Facility (WOW EF). 

Awards: Collaborative Research: Downburst Fragility Characterization of Transmission Line Systems Using Experimental and Validated Stochastic Numerical Simulations || CMMI 1762968 & CMMI 1762918
DOI: 10.17603/ds2-mbee-8941
title: Data Files for California Subregional Path Effect Study

description: This dataset is a subset of an on-going effort to compile and process recent earthquake ground motion data for seismic hazard analyses and ground motion model development. The provided dataset contains computed ground motion intensity measures (peak-values and pseudo-spectral accelerations) for earthquake events in California, western Nevada, and Baja, Mexico. This includes records from the Next Generation Attenuation West-2 (NGA-West2) Project (Ancheta et al. 2014) and data from earthquakes that have occurred since the completion of the NGA-West2 compilation (post-2011). These data were used to assess subregional path effects across California, which produced a subregional anelastic attenuation model. Subregion boundaries are provided as GeoJson and GIS shapefiles.
DOI: 10.17603/ds2-qz8d-zq03
title: Assessing the Feasibility of Systematizing Human-AI Teaming to Improve Community Resilience

description: The goal of this planning grant is to analyze existing human-AI teaming disaster data and involve civic partners in focus groups to better understand the attitudes and beliefs of CERT volunteers, emergency managers, key governmental organizations, and non-governmental organizations. This project will develop deep knowledge of digital volunteer teams, how they work, how to motivate them, and how to have them support the objectives of emergency managers. Thus, we advance theory around volunteer teaming in the technology space and human-in-the-loop protocols. This project provides meaningful ways for more citizens to participate in disaster planning and response, and develops a training curriculum for CERT volunteers who work with social media data in an effort to build sustainable volunteer efforts.
DOI: 10.17603/ds2-x312-cf12
title: Tamkang Aerodynamic Loads Database for High-rise Buildings

description: The Tamkang Aerodynamic Loads Database for high-rise buildings comprises non-dimensional base moments/torsion coefficients and spectra for alongwind, acrosswind, and torsional directions in relation to the zero angle of attack. This comprehensive database, developed by the Wind Engineering Research Center at Tamkang University (TKU-WERC), Taiwan, under the leadership of Professors Chii-Ming Cheng and Jenmu Wang, has been generously shared to support further research endeavors. To enhance understanding of the dataset, detailed descriptions, including symbols and expressions, have been appended to elucidate each term.
DOI: 10.17603/ds2-fa0b-4p07
title: Local Puerto Rican Team + Mainland US Support Team
title: in RAPID: A Coordinated Structural Engineering Response to Hurricane Irma (and Hurricane Maria in Puerto Rico)

description: Though personally impacted by the hurricane, the majority of damage assessments were conducted by Puerto Rican researchers (faculty and students) over a number of weeks following the hurricane. In this brief mission, local researchers were joined by a Mainland US Support Team. The joint effort included door-to-door Damage Assessments to document the performance of buildings, using a customized Fulcrum smartphone application, as well as unmanned aerial surveys (UAS).
description: The active 2017 hurricane season included multiple hurricanes impacting the United States from its mainland to the US Virgin Islands and Puerto Rico. Hurricane Irma left a path of destruction across the Caribbean, including landfall on September 6, 2017 in the British Virgin Islands, just east of the US Virgin Islands, as a Category 5 hurricane. The hurricane inflicted minor impacts on Puerto Rico as it continued through the Caribbean towards Florida. Shortly thereafter, Maria made its way through the caribbean, eventually making its US landfall on September 20 near Yabucoa, Puerto Rico as a strong Category 4 hurricane, causing considerable damage to large portions of the island from wind, storm surge and inland flooding hazards. 

As part of a wider coordinated effort to conduct assess damage resulting from this sequence of hurricanes, a regional node was established in Puerto Rico to organize local reconnaissance efforts across the island between October 6 and November 18, 2017. Separate efforts were organized for Florida as well as the US Virgin Islands, each curated as separate DesignSafe projects (PRJ-1828 and PRJ-2685, respectively). Though personally impacted by the hurricane, the majority of assessments were conducted by Puerto Rican researchers over a number of weeks following the hurricane. Additional support was provided by a mainland US team, who joined these efforts for a short campaign (Nov. 15-18, 2017). The Investigations employed primarily door-to-door Damage Assessments to document the performance of buildings, using a customized Fulcrum smartphone application. At select locations, the mainland US team executed unmanned aerial surveys (UAS). Following the reconnaissance effort, a team of student Data Librarians were trained to execute a comprehensive Data Enrichment and Quality Control (DE/QC) process.
DOI: 10.17603/ds2-afwy-3v51
title: SRCMF Opensees Archetype Designs, Models, and Responses
title: in SRCMF Opensees Archetype Dataset

description: OpenSees Archetype Model of Special Reinforced Concrete Moment Frames. The repository contains design data, Opensees and ATC 138 model data, response data from IDA using 44 ground motions from the FEMA Far Field set, eigen analysis data, and summary ATC 138 output data for a set of 24 reinforced concrete moment frame archetypes. The archetypes are designed for a general high seismicity, Dmax, site with a soil class of C and follow the ASCE/SEI 7-16 design provision. The archetype set includes reference models designed to meet minimum base shear and drift requirements as well as enhanced designs that are designed for up to 50% higher strengths and 1% drift limits.
description: Opensees and ATC 138 designs, model data, and response data from IDA using 44 ground motions from the FEMA Far Field set, eigen analysis data, and summary ATC 138 output data for a set of 24 reinforced concrete moment frame archetypes
DOI: 10.25378/janelia.13114259
title: Isotropic 3D electron microscopy reference data of wild-type, immortalized T-Cells (jrc_jurkat-1)

description: <b>This acquisition is part of the CellMap 2024 Segmentation Challenge</b><b>Challenge DOI:</b> https://doi.org/10.25378/janelia.c.7456966<b>Challenge Website:</b> https://cellmapchallenge.janelia.org/<b>Sample:</b> Wild-type Jurkats<b>Sampe description:</b> Understanding cellular architecture is essential for understanding biology. Electron microscopy (EM) uniquely visualizes cellular structure with nanometer resolution. However, traditional methods, such as thin-section EM or EM tomography, have limitations inasmuch as they only visualize a single slice or a relatively small volume of the cell, respectively. Here, we overcome these limitations by long-term imaging whole cells and tissues via the enhanced Focus Ion Beam Scanning Electron Microscopy (FIB-SEM) platform in high resolution mode with month-long acquisition duration. We use this approach to generate reference 3D image data sets at 4-nm isotropic voxels. Together with subsequent segmentation, we hope to create a reference library to explore comprehensive quantification of whole cells and all their constituents, thus addressing questions related to cell identities, cell morphologies, cell-cell interactions, as well as intracellular organelle organization and structure.<b>Protocol</b>: High pressure freezing, freeze-substitution resin embedding with 2% OsO4 0.1% UA 3% H2O in acetone; resin embedding in Eponate 12.<b>Contributions</b>: Sample provided by Huxley K. Hoffman and Schuyler B. van Engelenburg (U. Denver), prepared for imaging by Gleb Shtengel (HHMI/Janelia), with imaging and post-processing by C. Shan Xu (HHMI/Janelia)<b>Acquisition ID</b>: jrc_jurkat-1<b>Final voxel size (nm)</b>: 4.0 x 4.0 x 3.44 (X, Y, Z)<b>Dimensions (µm):</b> 40 x 12 x 29 (X, Y, Z)<b>Imaging start date:</b> 2018-08-10<b>Imaging duration (days)</b>: 3<b>Landing energy (eV)</b>: 1000<b>Imaging current (nA)</b>: .25<b>Scanning speed (MHz)</b>: .2<b>Dataset URL</b>: s3://janelia-cosem-datasets/jrc_jurkat-1/jrc_jurkat-1.zarr/recon-1/em/<b>Visualization Website:</b> https://openorganelle.janelia.org/datasets/jrc_jurkat-1<br><br><b>Publication</b>: Xu et al., 2021, Heinrich et al., 2021<br>
DOI: 10.25378/janelia.13117697
title: Automatic segmentation of organelles in isotropic electron microscopy data of immortalized wild-type T-Cell (jrc_jurkat-1)

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 Jurkats. Clone E6-1 (ATCC TIB-152).Dataset ID: jrc_jurkat-1EM Data DOI: 10.25378/janelia.13114259EM 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_jurkat-1/jrc_jurkat-1.n5/labelsVisualization Website: https://openorganelle.janelia.org/datasets/jrc_jurkat-1Publication: Heinrich et el., 2020Segmented Organelles: Centrosome (A600k), Centrosome D App (A900k), Chromatin (A825k), ECS (M875k), Endo (M650k), Endo mem (M1025k), ER (F625k), ER mem (A775k), ERES (A875k), Golgi (F650k), Golgi mem (F650k), N-H Chrom (A600k), LD (A525k), LD mem (A625k), Lyso (A1125k), Lyso mem (A1125k), MT (F900k), MT out (F975k), Mito (A875k), Mito mem (A925k), NE (A1150k), NE mem (A1150k), NP (A900k), NP out (A975k), Nucleolus (A950k), Nucleus (F600k), PM (M650k), Ribo (F575k), Vesicle (F675k), Vesicle mem (A1075k)Included in Dataset: manual annotations, predictions, segmentations
DOI: 10.25378/janelia.13117697.v1
title: Automatic segmentation of organelles in isotropic electron microscopy data of immortalized wild-type T-Cell (jrc_jurkat-1)

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 Jurkats. Clone E6-1 (ATCC TIB-152).Dataset ID: jrc_jurkat-1EM Data DOI: 10.25378/janelia.13114259EM 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_jurkat-1/jrc_jurkat-1.n5/labelsVisualization Website: https://openorganelle.janelia.org/datasets/jrc_jurkat-1Publication: Heinrich et el., 2020Segmented Organelles: Centrosome (A600k), Centrosome D App (A900k), Chromatin (A825k), ECS (M875k), Endo (M650k), Endo mem (M1025k), ER (F625k), ER mem (A775k), ERES (A875k), Golgi (F650k), Golgi mem (F650k), N-H Chrom (A600k), LD (A525k), LD mem (A625k), Lyso (A1125k), Lyso mem (A1125k), MT (F900k), MT out (F975k), Mito (A875k), Mito mem (A925k), NE (A1150k), NE mem (A1150k), NP (A900k), NP out (A975k), Nucleolus (A950k), Nucleus (F600k), PM (M650k), Ribo (F575k), Vesicle (F675k), Vesicle mem (A1075k)Included in Dataset: manual annotations, predictions, segmentations
DOI: 10.15468/dl.zkjvcc
title: Occurrence Download

description: A dataset containing 36448 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Streptomyces Waksman & Henrici, 1943"
 ]
}

 The dataset includes 36448 records from 425 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015628-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zpsn85
title: Occurrence Download

description: A dataset containing 7 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Russian Federation",
 "GadmGid is RUS.2_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Picea abies (L.) H.Karst."
 ]
}

 The dataset includes 7 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001052-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.5032310
title: Scholastic Theology [IO Islamic 1600] الحاشیة القدیمة

description: Scholastic Theology.

This manuscript is now IO Islamic 1600 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 420 here with further notations and hyperlinks].


420.

1600. Size 83/4 in. by 43/4 in.; foll. 155. Seventeen and twenty-one lines in a page.

Another copy of the same work, ending abruptly in the same note with which no. 417 concludes.

Plainly written, with marginal notes. Various extracts are written on the fly-leaves (foll. 1-4).

[Hastings.]
DOI: 10.5281/zenodo.5032311
title: Scholastic Theology [IO Islamic 1600] الحاشیة القدیمة

description: Scholastic Theology.

This manuscript is now IO Islamic 1600 in the India Office collections.

[metadata: Otto Loth, A Catalogue of the Arabic Manuscripts in the Library of the India Office, (volume 1), no. 420 here with further notations and hyperlinks].


420.

1600. Size 83/4 in. by 43/4 in.; foll. 155. Seventeen and twenty-one lines in a page.

Another copy of the same work, ending abruptly in the same note with which no. 417 concludes.

Plainly written, with marginal notes. Various extracts are written on the fly-leaves (foll. 1-4).

[Hastings.]