cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-m009-vg97
title: Focus Group Protocol (English and Spanish) - Questions, Conceptual Mapping Activity, Demographics
title: in Critical Links: Exploring the Connection between Community Assets and Latinx Social Capital for Disaster Resilience along the Oregon Coast

description: Through participant observation, focus group discussions, a novel conceptual mapping activity and semi-structured individual interviews, I explore the connections that exist between valued locations and social support networks for the Latinx community in Lincoln County, OR and how they are utilized as Latinx residents adapt to day-to-day challenges and/or impacts from natural hazards. The Pacific Northwest Region, which includes Washington, Oregon, and Northern California, is at risk of significant structural and economic damage and widespread loss of life from a massive subduction zone earthquake (7.0+) and resulting tsunami (Cascadia Event). In Oregon, the state is unprepared for the medical care and housing needs after a Cascadia event due to inadequate leveraging of community assets. Because vulnerable groups will experience the greatest and most long-lasting impacts, this research specifically utilized research methodologies aimed at connecting with Latinx community members, who are an ethnic minority in the state. Participant observation was utilized to build relationships and familiarity with the community. For additional documentation and materials regarding the participant observation methodology, please contact the researcher. The results of participant observation and input from community members and advisors were utilized to develop the finalized focus group protocol provided here. Four focus groups were conducted between October-November 2022. Semi-structured interviews were held between November-February 2023. Contained within this collection are the focus group protocol, conceptual mapping activity, demographics questions that were utilized, and semi-structured interview guide, all available in English and Spanish.
description: This document contains the final version of the focus group protocol that was utilized during data collection. Section headers indicate the focus of each group of questions. The order of each focus group generally followed the protocol, although variations occurred on a case by case basis. The entire protocol aimed to take approximately 1.5 hours to complete. Demographic questions were printed along with the conceptual mapping sheets completed by participants. Additional information on the conceptual mapping activity is contained within the document "Social Circles Conceptual Mapping Activity Rationale and Development".
DOI: 10.17603/ds2-tbck-wc43
title: The Effects of Earthquake Retrofit on the Resale Value of Single-Family Dwellings

description: Seismic retrofits aim to reduce future damage caused by earthquakes, which in turn reduce the cost of rebuilding. This research asks the question: does seismic retrofit affect the resale value of single-family dwellings? Using only publicly available real estate sales listings and other public databases, location, price, and market features of retrofitted and non-retrofitted homes in California were collected and tabulated. The data were then examined through multivariate linear regression analysis to quantify the effect that retrofit has on the resale value of single-family dwellings. In the analysis, the resale value acted as the dependent variable. Retrofit and other home features such as size, number of bedrooms, number of bathrooms, neighborhood household income, and others acted as the independent variables. The analysis suggests that in 2020 in California, seismic retrofit increases the resale value of home by 9.85%, significantly higher than the average cost to perform the retrofit. Equipped with this knowledge, lawmakers, engineers, and real estate professionals can entice existing and new homeowners to consider the benefits of seismically retrofitting their homes.
DOI: 10.17603/ds2-zz9e-kc61
title: Part II: Systematic Literature Review Table—CONVERGE Extreme Events Research Check Sheets Series

description: This publication provides a table that can be used by hazards and disaster researchers to inventory literature for a systematic literature review. The topics in the table can help researchers from different disciplines learn how to summarize important elements of each publication and critically review the study design and methods employed in past research. 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-rxxc-qm81
title: ISROC Dataset for: Evaluating optically stimulated luminescence rock surface exposure dating as a novel approach for reconstructing coastal boulder movement on decadal to centennial timescales
title: in Inundation Signatures on Rocky Coastlines (ISROC) Global Coastal Boulder Deposits Datasets Version 1

description: This document contains standardized data as an Excel and NC file and explanatory notes for "Evaluating optically stimulated luminescence rock surface exposure dating as a novel approach for reconstructing coastal boulder movement on decadal to centennial timescales." The project surveyed 11 coastal boulder deposits from storm waves on the Rabat Coast in Morocco. Here, they are testing optically stimulated luminescence rock surface exposure dating (OSL-RSED) to improve data methods in the field, and erosion has a larger effect on the method's accuracy.
description: This project is a collection of datasets on studies about coastal boulder deposits worldwide. Each document is a unique dataset that contains data from a published study. The document's name reflects the name of the associated paper, and all authors of papers are given credit in the respective document. Each dataset's data is standardized into an ISROC-formatted Excel and NC File. Also, every dataset has explanatory notes, which contain a data dictionary explaining data parameters and appropriate units, Some datasets have the raw data given to ISROC by the paper's authors. By creating a database in the public domain, ISROC hopes to promote academic collaboration in the field. ISROC, an NSF-funded research network, funds this project.
DOI: 10.17603/ds2-vdvj-hc04
title: Research Experiences for Undergraduates (REU), NHERI 2024: Multi-Physics Cyber-Physical Simulations: Challenges in Fluid-Structure Interaction

description: This project focuses on evaluating the potential use of DualSPHysics, a particle-based numerical tool using Smoothed Particle Hydrodynamics (SPH) solver, to model Fluid-Structure Interaction (FSI) phenomena. The main goal of the research is to enhance the resilience of offshore and coastal infrastructures by accurately simulating how fluids interact with structures during extreme events like hurricanes and tsunamis. The project includes testing and validating the accuracy of DualSPHysics, by assessing its computational efficiency, and exploring its integration into Real-Time Hybrid Simulation (RTHS) frameworks. This work provides insights on the impact of different inter-particle distance on simulation’s accuracy and computational cost, which can guide future simulations and optimizations. This work is unique because it is a preliminary work in bridging the gap between experimental and numerical simulations by integrating DualSPHysics, an advanced SPH-based tool, into RTHS. It focuses on a cutting-edge application of particle-based simulations for FSI. This project targets researchers in structural engineering, coastal engineering, and natural hazard mitigation who are interested in advanced simulation techniques for FSI.
DOI: 10.17603/ds2-8wdb-dm67
title: Research Instruments for Evaluation of ShakeAlert Video
title: in ShakeAlert® earthquake early warning education: Evaluation of an English- and Spanish-language animated video

description: This project is a dual-language (English/Spanish) evaluation of an educational video about ShakeAlert Earthquake Early Warning. The video was developed in English and Spanish and designed to introduce public audiences to ShakeAlert, including how it works and how to respond to an alert. This study used surveys and interviews in both English and Spanish to assess the effectiveness of the video, with a focus on understandability, enjoyability, and impact on viewers' intended behaviors related to earthquake early warning. Materials included in this project library may be of particular use to researchers who: a) are focused on hazards education/communication, b) are evaluating video or media-based communications, and/or c) are designing multilingual research projects.
description: This collection includes English- and Spanish-language instruments used for the evaluation of the ShakeAlert Video.
DOI: 10.21979/n9/zta5mn
title: Replication Data for: Forman Persistent Ricci Curvature (FPRC) in Protein-Ligand Binding Affinity Predictions

description: Artificial intelligence (AI) techniques have already been gradually applied to the entire drug design process, from target discovery, lead discovery, lead optimization and preclinical development to the final three phases of clinical trials. Currently, one of the central challenges for AI-based drug design is molecular featurization, which is to identify or design appropriate molecular descriptors or fingerprints. Efficient and transferable molecular descriptors are key to the success of all AI-based drug design models. Here we propose Forman persistent Ricci curvature (FPRC)-based molecular featurization and feature engineering, for the first time. Molecular structures and interactions are modeled as simplicial complexes, which are generalization of graphs to their higher dimensional counterparts. Further, a multiscale representation is achieved through a filtration process, during which a series of nested simplicial complexes at different scales are generated. Forman Ricci curvatures (FRCs) are calculated on the series of simplicial complexes, and the persistence and variation of FRCs during the filtration process is defined as FPRC. Moreover, persistent attributes, which are FPRC-based functions and properties, are employed as molecular descriptors, and combined with machine learning models, in particular, gradient boosting tree (GBT). Our FPRC-GBT models are extensively trained and tested on three most commonly-used datasets, including PDBbind-2007, PDBbind-2013 and PDBbind-2016. It has been found that our results are better than the ones from machine learning models with traditional molecular descriptors.
DOI: 10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce.v1
title: Data underlying the publication: Large-scale agriculture contributes to over 70% of green and blue virtual water flows

description: This dataset aims to quantify the contribution of small-scale and large-scale agriculture to food-related virtual water flows. Small-scale and large-scale agriculture were explicitly disaggregated in Environmentally-Extended Multi-Regional Input-Output analysis (EE-MRIO), which was later used to calculate virtual water flows. The EE-MRIO consists of three tables to increase the resolution of food-related sectors, considering the importance of these sectors in water consumption (FABIO, GLORIA, and the linking table). Gridded crop production and water consumption data are used, and their production allocation to trade and non-food uses was estimated based on the farming system. Different crop water footprints were used for virtual water flows, non-food uses and for domestic purposes. <br>This dataset contains country-level virtual water flow divided by green or blue water, type of final use, year, from water-scarce or water-abundant regions; and gridded data describing where the virtual water flow comes from at the 30-arcmin grid cell level per crop<br>A detailed method description and analysis are under preparation and review. We will update it here as soon as possible. All the code and other data will be available upon request.
DOI: 10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce.v2
title: Data underlying the publication: Large-scale agriculture dominates green and blue virtual water flows

description: This dataset aims to quantify the contribution of small-scale and large-scale agriculture to food-related virtual water flows. Small-scale and large-scale agriculture were explicitly disaggregated in Environmentally-Extended Multi-Regional Input-Output analysis (EE-MRIO), which was later used to calculate virtual water flows. The EE-MRIO consists of three tables to increase the resolution of food-related sectors, considering the importance of these sectors in water consumption (FABIO, GLORIA, and the linking table). Gridded crop production and water consumption data are used, and their production allocation to trade and non-food uses was estimated based on the farming system. Different crop water footprints were used for virtual water flows, non-food uses and for domestic purposes. <br>This dataset contains country-level virtual water flow divided by green or blue water, type of final use, year, from water-scarce or water-abundant regions; and gridded data describing where the virtual water flow comes from at the 30-arcmin grid cell level per crop<br>A detailed method description and analysis are under preparation and review. We will update it here as soon as possible. All the code and other data will be available upon request.
DOI: 10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce.v3
title: Data underlying the publication: Large-scale agriculture dominates green and blue virtual water flows

description: This dataset aims to quantify the contribution of small-scale and large-scale agriculture to food-related virtual water flows. Small-scale and large-scale agriculture were explicitly disaggregated in Environmentally-Extended Multi-Regional Input-Output analysis (EE-MRIO), which was later used to calculate virtual water flows. The EE-MRIO consists of three tables to increase the resolution of food-related sectors, considering the importance of these sectors in water consumption (FABIO, GLORIA, and the linking table). Gridded crop production and water consumption data are used, and their production allocation to trade and non-food uses was estimated based on the farming system. Different crop water footprints were used for virtual water flows, non-food uses and for domestic purposes. <br>This dataset contains country-level virtual water flow divided by green or blue water, type of final use, year, from water-scarce or water-abundant regions; and gridded data describing where the virtual water flow comes from at the 30-arcmin grid cell level per crop<br>A detailed method description and analysis are under preparation and review. We will update it here as soon as possible. All the code and other data will be available upon request.
DOI: 10.4121/4d32300f-28cf-45f8-8e9d-77759bf6e9ce.v4
title: Data underlying the publication: Estimating the contribution of small-scale agriculture to the crop production involved in international trade and virtual water flows

description: This dataset aims to quantify the contribution of small-scale and large-scale agriculture to the crop production involved in international trade virtual water flows. This dataset contains country-level crop production involved in trade and virtual water flow divided by green or blue water, type of final use, and year from small-scale and large-scale agriculture.<br>A detailed method description and analysis are under preparation and review. We will update it here as soon as possible. All the code and other data will be available upon request.
DOI: 10.15468/dl.j5u52x
title: Occurrence Download

description: A dataset containing 1951 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Glyphis garricki Compagno, White & Last, 2008"
 ]
}

 The dataset includes 1951 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012984-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6u97vd
title: Occurrence Download

description: A dataset containing 157820 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Taxus baccata"
 ]
}

 The dataset includes 157820 records from 1145 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0029685-251025141854904/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.jqcjm2
title: Occurrence Download

description: A dataset containing 230 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Porifera diversity and distribution data in the Southern Gulf of Mexico"
 ]
}

 The dataset includes 230 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011892-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.26jhwt
title: Occurrence Download

description: A dataset containing 8 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Vascular plant records verified via iRecord",
 "Geometry POLYGON((-2.29946 53.43788,-2.29926 53.4344,-2.28336 53.43419,-2.28343 53.43692,-2.29946 53.43788))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Impatiens glandulifera Royle"
 ]
}

 The dataset includes 8 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011893-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.svhxkn
title: Occurrence Download

description: A dataset containing 3314 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "TaxonKey is Sigmodon toltecus (Saussure, 1860)"
 ]
}

 The dataset includes 3314 records from 50 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0011894-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.31112797
title: Inbreeding in <i>Eucalyptus</i> Seeds

description: Breeding strategies have mainly relied on crosses among hybrid genotypes, resulting in the recurrent selection of a limited number of superior clones. The development of inbred lines represents a complementary approach for broadening breeding schemes and enhancing genetic control. However, obtaining self-fertilized seeds in predominantly allogamous species is laborious, costly, and technically demanding. This study evaluated whether seed morphological screening, combined with seed collection from the central areas of monoclonal stands, could improve germination efficiency, seedling uniformity, and the identification of selfed individuals. Seeds from four commercial Eucalyptus “urograndis” clones were collected from the center of monoclonal plantations. Seed screening was conducted using granulometric sieves, manual selection based on physical integrity, and separation by weight using a seed blower, generating distinct morphological categories. Germination rate, seedling height at three months after germination, and genetic parameters were evaluated using 16 SSR markers, including selfing rate, heterozygosity, and inbreeding coefficient. Germination rates was differed among clones and morphological categories, with consistently higher values observed for heavier seeds and larger diameter classes. Seed screening increased overall germination efficiency and promoted greater seedling uniformity. Substantial variation in selfing rates was detected among clones, while morphological categories showed limited ability to discriminate selfed individuals, except in one clone. Seedling height was influenced by seed morphology, whereas genetic effects associated with inbreeding were significant in only one progeny. Overall, seed morphological screening represents a practical strategy to enhance seminal seedling production and reduce operational costs, supporting breeding programs and genetic diversification in commercial Eucalyptus plantations.
DOI: 10.6084/m9.figshare.31112797.v1
title: Inbreeding in <i>Eucalyptus</i> Seeds

description: Breeding strategies have mainly relied on crosses among hybrid genotypes, resulting in the recurrent selection of a limited number of superior clones. The development of inbred lines represents a complementary approach for broadening breeding schemes and enhancing genetic control. However, obtaining self-fertilized seeds in predominantly allogamous species is laborious, costly, and technically demanding. This study evaluated whether seed morphological screening, combined with seed collection from the central areas of monoclonal stands, could improve germination efficiency, seedling uniformity, and the identification of selfed individuals. Seeds from four commercial Eucalyptus “urograndis” clones were collected from the center of monoclonal plantations. Seed screening was conducted using granulometric sieves, manual selection based on physical integrity, and separation by weight using a seed blower, generating distinct morphological categories. Germination rate, seedling height at three months after germination, and genetic parameters were evaluated using 16 SSR markers, including selfing rate, heterozygosity, and inbreeding coefficient. Germination rates was differed among clones and morphological categories, with consistently higher values observed for heavier seeds and larger diameter classes. Seed screening increased overall germination efficiency and promoted greater seedling uniformity. Substantial variation in selfing rates was detected among clones, while morphological categories showed limited ability to discriminate selfed individuals, except in one clone. Seedling height was influenced by seed morphology, whereas genetic effects associated with inbreeding were significant in only one progeny. Overall, seed morphological screening represents a practical strategy to enhance seminal seedling production and reduce operational costs, supporting breeding programs and genetic diversification in commercial Eucalyptus plantations.
DOI: 10.34740/kaggle/dsv/14571184
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.h92ntg
title: Occurrence Download

description: A dataset containing 49 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Cyperus cyperoides",
 "Year 1970-2000"
 ]
}

 The dataset includes 49 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002563-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/14569943
title: Aadhar Biometric, Demographic and Enrolment Data