cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.za35hs
title: Occurrence Download

description: A dataset containing 347 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.47612 36.66208,-4.44378 36.66208,-4.44378 36.68397,-4.47612 36.68397,-4.47612 36.66208))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 347 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015637-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-dtdz-7827
title: Seismic Fragility Functions and Recovery Models for Energy, Water, and Wastewater Systems - Tabular Summary

description: This project contains summary of prominent studies on seismic fragility functions and recovery models of energy (power, liquid fuel, natural gas), water, and wastewater systems developed during the last three decades (1991-2021). Fragility functions and recovery models are listed in tabular format that summarizes relevant information related to intensity measures (IMs), methods used to derive the fragility models, damage states considered, types of verification and validation (V&V) performed in model development, region for which the fragility functions and recovery models were developed, and brief description of associated infrastructure component.
DOI: 10.17603/ds2-mcg2-7x74
title: Hurricane Katrina 2005
title: in FCMP Ground Level Hurricane Wind Data (1999 - 2008)

description: The Florida Coastal Monitoring Program (FCMP) is a collaborative experimental effort to measure ground level hurricane surface winds. This publication provides data files of ground level wind speed and direction measured along the east coast of Florida during landfall of Hurricanes: Irene 1999,  Gordon 2000, Lili 2002, Charley 2004, Ivan 2004, Jeanne 2004, Dennis 2005, Katrina 2005, Rita 2005, Wilma 2005, Gustav 2008, Hanna 2008 and, Ike 2008. Urbanists, social scientists, structural engineers, and meteorologists, among others, can use these real wind speed measurements and directions in myriad disaster research and planning projects.
description: Portable weather stations were deployed along the coast and/or inland to collect wind observations. This publication provides data files of ground level wind speed and direction measured along the coast during landfall of Hurricane Katrina 2005.
DOI: 10.17603/ds2-5pw1-s719
title: Bayless and Somerville (2024) GMM: Part 1 (Non-Cratonic)

description: This project contains input and output files for earthquake ground-motion simulations performed for non-Cratonic Australia using the Graves and Pitarka (2015) simulation method as implemented in the Southern California Earthquake Center (SCEC) Broadband Platform (BBP; Maechling et al., 2015). The authors acknowledge the Center for Advanced Research Computing (CARC) at the University of Southern California for providing computing resources that have contributed to the research results reported within this publication. URL: https://carc.usc.edu.
DOI: 10.17603/ds2-6avc-1s73
title: eXplainable AI models for Predicting Lateral Spreading in the 2011 Christchurch Earthquake: SHapley Additive exPlanations approach

description: This project centers on using eXplainable AI (XAI) techniques, notably SHAP (SHapley Additive exPlanations), to interpret machine learning models forecasting lateral spreading during the 2011 Christchurch Earthquake. The data originates from published data in DesignSafe (PRJ-2998). Through this project, Jupyter notebooks are provided, offering reusable tools for natural hazard studies. Its distinctive approach integrates ML modeling with XAI techniques, making it relevant to researchers, engineers, and data scientists seeking interpretability in AI and natural hazard research.
DOI: 10.17603/ds2-f3pq-dn68
title: Research Experiences for Undergraduates (REU), NHERI 2023: Mayfield Clothing Mill Deviation Analysis and Conversion of Point Cloud Model to FEM

description: Point cloud models of the Mayfield Clothing Mill, a tornado-damaged historic masonry building, are analyzed to understand any possible structural deviations. A point cloud alignment and deviation analysis workflow are described. Cloud2FEM, a point cloud to finite element model (FEM) conversion software, is utilized to generate a FEM for the Clothing Mill. The resulting FEM can be used for structural analysis purposes and be simulated under load conditions to study the structure’s response.
DOI: 10.15468/dl.bm8dku
title: Occurrence Download

description: A dataset containing 734 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.48797 36.65378,-4.43884 36.65378,-4.43884 36.69134,-4.48797 36.69134,-4.48797 36.65378))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 734 records from 18 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015638-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-4acg-tt80
title: Fly Ash Brick and AAC Block Masonry Infilled RC Frame Buildings: OpenSees Models and Responses
title: in 3D OpenSees Models of URM Infilled RC Frame Buildings

description: OpenSees models and responses of G+4 and G+7 story buildings, infilled with fly ash brick and AAC block masonry in various configurations (bare frame, fully infilled frame, and open-ground story frame), are included. These archetype buildings are subjected to 40 pairs of ground motions at MCE, consistent with the hazard at the building location.
description: This repository contains OpenSees scripts for nonlinear three-dimensional models of reinforced concrete frames, both with and without infills. Two different types of infills are used: Fly ash brick masonry and AAC block masonry. A total of ten archetype buildings, comprising G+4 and G+7 stories with various configurations, are modeled. These configurations include bare frames, fully infilled frames, and open-ground story frames. The archetype buildings were designed according to modern Indian codes.
DOI: 10.17603/ds2w11m
title: Shake-table testing of a full-scale two-story precast wall-slab-wall structure
title: in Shake-table testing of a full-scale two-story precast wall-slab-wall structure

description: Precast wall-slab-wall buildings can be found in many different earthquake-prone areas of the world. This type of building structures features no beams or columns, but rather precast walls and slabs alone, which are joined together by means of steel connectors and mortar, both of which will not necessarily prevent the formation of relative sliding between structural members when the structure is subjected to certain levels of horizontal excitation, rendering them particularly vulnerable to seismic loading. Given the scarce amount of information/data on the seismic behavior of these structures, a dynamic shake-table test was undertaken to investigate the response/performance of a full-scale two-story reinforced precast concrete wall-slab-wall structure, up to incipient/near collapse. The building mock-up was subjected to five test runs of progressively increased intensity and collapsed due to failure of the steel connectors used to join the longitudinal and transverse walls.
description: A dynamic shake-table test was undertaken to investigate the response/performance of a full-scale two-story reinforced precast concrete wall-slab-wall structure, up to incipient/near collapse. The building mock-up was subjected to five test runs of progressively increased intensity and collapsed due to failure of the steel connectors used to join the longitudinal and transverse walls.
DOI: 10.15468/dl.bb9a8x
title: Occurrence Download

description: A dataset containing 346 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Specimen",
 "Geometry POLYGON((-4.47318 36.66337,-4.44532 36.66337,-4.44532 36.68363,-4.47318 36.68363,-4.47318 36.66337))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Tracheophyta"
 ]
}

 The dataset includes 346 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0015636-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-mz7g-jk26
title: Undergraduate Research Experience (REU), NHERI 2019: A Stochastic Ground Motion Simulation Model Developed for Shallow Crustal Earthquakes Evaluated in a Subduction Zone Setting

description: Analyzed the applicability of a stochastic ground motion simulation model for faulting types it was not developed for. The analysis of the model was performed using the November 2018 Anchorage, Alaska, subduction zone earthquake record. Results showing the possible application of the model to this faulting type are recorded in the paper. Several common ground motion intensity measures were computed and analyzed using Python. These include peak ground acceleration, Arias intensity, significant duration, and response spectra.
DOI: 10.21979/n9/fhbr2e
title: A 4571 node 4762 edge directed weighted Bitcoin address subgraph

description: This dataset contains an address subgraph of the Bitcoin network comprising 4571 nodes and 4762 edges. Every line contains 2 Bitcoin addresses separated by a comma, followed by a Bitcoin amount. This represents a directed edge in this subgraph. This data was extracted from the Bitcoin transaction network by Phetsouvanh Silivanxay. The amount is computed by agglomerating the involvement of the nodes in different transactions as explained in the accompanying paper.
DOI: 10.17603/ds2-a5zd-fz43
title: Household Survey Instrument, 2008: Wave 1
title: in Galveston Recovery from 2008 Hurricane Ike - A “Living Laboratory” for Examining Community Recovery and Resilience After Disaster

description: This collection archives instruments and planning materials related to the household survey for Wave 1 of the Galveston, TX Field Study conducted by the Hazard Reduction Recovery Center, as part of a National Science Foundation-funded project. The instrument was designed to gather specific types of information on the household (social) that occupied the housing unit at the time of the flooding. The Wave 1 household survey instrument was designed to collect immediate information on impact, dislocation, and early repair and rebuilding decisions associated with Hurricane Ike. The survey instrument was designed to collect information on: (1) evacuation and reoccupancy of household members with basic information (disruption of major lifeline utilities and tenure status), (2) dislocation/migration (move from your home in the near future), (3) applications to disaster assistance programs (insurance, FEMA, SBA), (4) damage, (5) consumer behavior, (6) additional household socioeconomic and demographics (e.g., highest education status, race/ethnicity, and annual income). The survey was designed to be conducted in-person. Based on the Wave 1 data, the center established a three-year period of panel studies of households, housing units, business owners, businesses, and business structures to track recovery trajectories and adaptive learning.
description: Researchers from the Hazard Reduction & Recovery Center (HRRC) at Texas A&M University have created a living laboratory for community resilience in Galveston, Texas, allowing them to identify previously untested relationships between the physical and social, and economic development patterns in physically vulnerable communities. With funding from the NSF, Dr. Van Zandt and her team at Texas A&M University collected primary data in the months immediately after Galveston Island and Bolivar Peninsula were struck by Hurricane Ike in September 2008, and again about a year later and two years later.
Data was collected from physical assessment of 1500 households. Household surveys were completed for 570 of those households, for a response rate of 38 percent. Business surveys were completed for 287 businesses in Galveston County (including areas on the Island and on the mainland). These data were (and continue to be) used to test hypotheses related to the resiliency and recovery of communities after a natural disaster. We here publish the instruments used to gather the data. The original data is not publicly available due to Institutional Review Board (IRB) restrictions in place at the time of collection. For further questions about the original data you may contact the HRRC at Texas A&M.
DOI: 10.17603/ds2-tdd4-y395
title: Interview Instruments for Next Generation Scenarios and Scenario-based Planning to Motivate Mitigation
title: in Next-Generation Scenarios and Scenario-Based Planning to Motivate Mitigation

description: The Next Generation Scenarios project is an applied research project seeking to advance the practice of developing and using scenarios to motivate, guide and support the mitigation of risks from geologic hazards. Research included 158 semi-structured interviews of scenario users, potential users, and developers across four sites: Ecuador, Nepal, New Zealand and the U.S. state of California. Past scenarios of geologic hazard events, and literature in related fields, were collected and reviewed. Based on the findings, a series of guidance documents for practitioners were prepared and are available from GeoHazards International at www.geohaz.org. The project was funded by the U.S. Agency for International Development under Award No. 720FDA20CA00032 and by the U.S. Geological Survey under Award No. G21AP10023-00.
description: Scenarios of geologic hazard events are frequently used by practitioners, but their effectiveness for mitigation uses was not well studied. These interview instruments were used to conduct a series of semi-structured interviews of developers, users, and potential users of geologic hazard scenarios at four sites: Ecuador, Nepal, New Zealand and California. The instruments were designed to obtain perspectives on what makes scenarios useful, credible and effective for mitigation, along with information on the interviewees' interactions with scenarios and risk mitigation responsibilities, plus a question to support the calculation of  Net Promoter Scores. Interviews were part of GeoHazards International's project Next Generation Scenarios and Scenario-based Planning to Motivate Mitigation, funded by the U.S. Agency for International Development and the U.S. Geological Survey. Interview research was conducted in accordance with Protocol 21-0223 approved by the University of Colorado Boulder's Institutional Review Board. Researchers could use these instruments to conduct future interviews of scenario decision-makers/users and developers in additional locations.
DOI: 10.15468/dl.ydbsdb
title: Occurrence Download

description: A dataset containing 722 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "Continent is Europe",
 "Country is Austria",
 "OccurrenceStatus is Present",
 "StateProvince is Tirol",
 "TaxonKey is Dryas octopetala L."
 ]
}

 The dataset includes 722 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001305-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/m3ydpnzdjf
title: RAINFALL INTENSITY FOR DEHRADUN
DOI: 10.17632/m3ydpnzdjf.1
title: RAINFALL INTENSITY FOR DEHRADUN
DOI: 10.17632/5j2pgxgg73.1
title: Impact of ATF6 deletion on the embryonic brain development

description: Although the unfolded protein response (UPR) is involved in brain development, its roles remain unclear. Here, we report that deletion of ATF6, a major branch of the UPR, consisting of ATF6α and ATF6β, in the developing brain caused microcephaly and neonatal death in mice. Analysis of Atf6a/Atf6b double conditional knockout (dcKO) brains revealed diverse neuronal phenotypes such as reduced neurogenesis, increased cell death, impaired cortical layer formation, and axon projection defects. Furthermore, hypervasculature, glial defects, and neuroinflammation were observed in dcKO brains. Notably, hypervasculature was detected at E14.5, when endoplasmic reticulum (ER) stress was morphologically unclear, but the UPR was activated to a greater extent in dcKO brains. Expression profiles revealed reduced levels of molecular chaperones in the ER and enhanced levels of PERK- and IRE1-downstream molecules, including VEGFa, in dcKO brains. Administration of a chemical chaperone 4-phenylbutyric acid partly rescued phenotypes of dkKO mice, suggesting roles of ATF6 for improving proteostasis and for coordinating the UPR activation.
DOI: 10.15468/dl.4q7644
title: Occurrence Download

description: A dataset containing 32536 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cuculus optatus Gould, 1845"
 ]
}

 The dataset includes 32536 records from 98 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001304-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p27jn973rp.1
title: The Impact of Capital Structure on Financial Performance of Russian Public Oil and Gas Companies

description: Panel data
DOI: 10.17632/sskpk3kbj9.1
title: The impact of capital structure on the market value of steel mill companies

description: The dataset will be useful for analyzing the impact of the capital structure of metallurgical companies on their value. The sample represents the financial performance of 30 of the largest metallurgical companies, both Russian and foreign, over the past 10 years, from 2014 to 2023.The dataset includes such indicators as Market Capitalization, Debt Ratio, Debt to Equity Ratio, ROA, ROE, Interest Coverage Ratio, Current Ratio, ln Total Assets, Ln Metal.
DOI: 10.15468/dl.pftm7q
title: Occurrence Download

description: A dataset containing 2848 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cornus sericea",
 "Country is Sweden",
 "HasCoordinate is true"
 ]
}

 The dataset includes 2848 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049154-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hrc96w
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Yunnanilus obtusirostris)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049155-250811113504898/datasets/export for details.
DOI: 10.15468/dl.3y29yv
title: Occurrence Download

description: A dataset containing 18 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cornus sericea",
 "Country is Slovakia",
 "HasCoordinate is true"
 ]
}

 The dataset includes 18 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049153-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.zwcxcy
title: Occurrence Download

description: A dataset containing 13 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Germany",
 "GadmGid is DEU.3_1",
 "OccurrenceStatus is Present",
 "TaxonKey is Cladonia foliacea (Huds.) Willd."
 ]
}

 The dataset includes 13 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012981-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.sjjxyr
title: Occurrence Download

description: A dataset containing 9243 species occurrences available in GBIF matching the query:
{
 "and" : [
 "DatasetKey is Botanical Database of Southern Africa (BODATSA): Botanical Collections",
 "Issue is one of (Zero coordinate, Country coordinate mismatch)"
 ]
}

 The dataset includes 9243 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001060-250424135625364/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/13825031
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.6084/m9.figshare.30685244
title: Regression Discontinuity Analysis with Latent Variables

description: A regression discontinuity (RD) design is often employed to provide causal evidence when the randomization of the treatment assignment is infeasible. When variables of interest are latent constructs measured by observed indicators, the conventional RD analysis using observed variable scores does not allow researchers to examine heterogeneity in the estimated local average treatment effect (ATE) and to generalize the ATE to participants away from the cutoff. We propose a novel methodological augmentation to the conventional RD analysis, which assumes the availability of multiple indicator variables (i.e., raw item responses) that measure the latent construct underlying the running variable. By specifying an explicit measurement model based on those indicator variables, our latent RD framework allows 1) defining the local ATE conditional on the latent construct, 2) disentangling the heterogeneity of the local ATE, and 3) generalizing the local ATE to running variable scores away from the cutoff. In a proof-of-concept simulation we illustrate the proposed augmentation recovers parameters of interest well under practical test length and sample size conditions.
DOI: 10.6084/m9.figshare.30685244.v1
title: Regression Discontinuity Analysis with Latent Variables

description: A regression discontinuity (RD) design is often employed to provide causal evidence when the randomization of the treatment assignment is infeasible. When variables of interest are latent constructs measured by observed indicators, the conventional RD analysis using observed variable scores does not allow researchers to examine heterogeneity in the estimated local average treatment effect (ATE) and to generalize the ATE to participants away from the cutoff. We propose a novel methodological augmentation to the conventional RD analysis, which assumes the availability of multiple indicator variables (i.e., raw item responses) that measure the latent construct underlying the running variable. By specifying an explicit measurement model based on those indicator variables, our latent RD framework allows 1) defining the local ATE conditional on the latent construct, 2) disentangling the heterogeneity of the local ATE, and 3) generalizing the local ATE to running variable scores away from the cutoff. In a proof-of-concept simulation we illustrate the proposed augmentation recovers parameters of interest well under practical test length and sample size conditions.