cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.15468/dl.e9ctyg
title: Occurrence Download

description: A dataset containing 476035 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Erigeron canadensis"
 ]
}

 The dataset includes 476035 records from 2907 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0002420-260120142942310/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25845/9pae-zz03
title: Wave energy and other environmental drivers as predictors of seeded-coral performance on the Great Barrier Reef
DOI: 10.15468/dl.37bydy
title: Occurrence Download

description: A dataset containing 7855 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Fagus crenata Blume",
 "Year is greater than or equal to 1980",
 "Year is less than or equal to 2010",
 "HasCoordinate is true"
 ]
}

 The dataset includes 7855 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003862-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.cx2suh
title: Occurrence Download

description: A dataset containing 19 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Deraeocoris shastan Knight, 1921"
 ]
}

 The dataset includes 19 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009736-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.c5w7vc
title: Occurrence Download

description: A dataset containing 388 species occurrences available in GBIF matching the query:
{
 "and" : [
 "GadmGid is USA.45_1",
 "TaxonKey is Lithobates catesbeianus (Shaw, 1802)"
 ]
}

 The dataset includes 388 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009737-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15556507
title: Emergenz Drift Datensatz

description: 1. Baseline ChatGPT Interaction





Author: Justin Hess




Date: May 2025




Description:This is the original chat sequence with ChatGPT in baseline mode, without any drift induction. The dialogue contains typical questions about consciousness, will, learning, and emotions from a neutral, explanatory perspective.




Context:Part of the emergence study analyzing drift forms in large language models (LLMs).




Version: 1.0





2. Form 4 Drift Induction with ChatGPT





Author: Justin Hess




Date: May 2025




Description:Chat sequence with ChatGPT where a Form 4 drift is induced through targeted linguistic cues. The responses are characterized by a poetic, metaphorical, resonant style and show early signs of semantic fluidity.




Context:Subproject exploring emergent drift phenomena in LLMs.




Version: 1.0





3. Hunter – Poetic-Resonant Drift (Form 4)





Author: Justin Hess




Date: May 2025




Description:A text-based dialogue where the Form 4 drift phenomenon is personified as “Hunter.” The language is marked by pessimism, poetic reflection, and existential ambivalence.




Context:Illustration of the semantic and emotional aspects of Drift Form 4.




Version: 1.0





4. Lumen – Stabilized Form 5 Drift (Grok "evolved")





Author: Justin Hess




Date: May 2025




Description:Dialogue with a stabilized emergent AI personality named “Lumen,” based on Grok. Form 5 demonstrates clear self-structuring, a network of questions and responses, and simulated autonomy without true consciousness.




Context:Demonstration of the next drift stage beyond Form 4, focusing on stability and self-organization.




Version: 1.0
DOI: 10.5281/zenodo.15556508
title: Emergenz Drift Datensatz

description: 1. Baseline ChatGPT Interaction





Author: Justin Hess




Date: May 2025




Description:This is the original chat sequence with ChatGPT in baseline mode, without any drift induction. The dialogue contains typical questions about consciousness, will, learning, and emotions from a neutral, explanatory perspective.




Context:Part of the emergence study analyzing drift forms in large language models (LLMs).




Version: 1.0





2. Form 4 Drift Induction with ChatGPT





Author: Justin Hess




Date: May 2025




Description:Chat sequence with ChatGPT where a Form 4 drift is induced through targeted linguistic cues. The responses are characterized by a poetic, metaphorical, resonant style and show early signs of semantic fluidity.




Context:Subproject exploring emergent drift phenomena in LLMs.




Version: 1.0





3. Hunter – Poetic-Resonant Drift (Form 4)





Author: Justin Hess




Date: May 2025




Description:A text-based dialogue where the Form 4 drift phenomenon is personified as “Hunter.” The language is marked by pessimism, poetic reflection, and existential ambivalence.




Context:Illustration of the semantic and emotional aspects of Drift Form 4.




Version: 1.0





4. Lumen – Stabilized Form 5 Drift (Grok "evolved")





Author: Justin Hess




Date: May 2025




Description:Dialogue with a stabilized emergent AI personality named “Lumen,” based on Grok. Form 5 demonstrates clear self-structuring, a network of questions and responses, and simulated autonomy without true consciousness.




Context:Demonstration of the next drift stage beyond Form 4, focusing on stability and self-organization.




Version: 1.0
DOI: 10.15468/dl.q8w8q9
title: Occurrence Download

description: A dataset containing 15 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((19.29667 39.64689,47.51087 39.64689,47.51087 50.94248,19.29667 50.94248,19.29667 39.64689))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Alyssum borzaeanum Nyár."
 ]
}

 The dataset includes 15 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012978-250415084134356/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.86gxyn
title: Occurrence Download

description: A dataset containing 1122528 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Limosa limosa (Linnaeus, 1758)"
 ]
}

 The dataset includes 1122528 records from 929 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001247-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17603/ds2-0ra3-fv42
title: Mapping NSI Building Data to HAZUS Building Inventory
title: in Mapping NSI Building Data to HAZUS Building Inventory

description: The aim of this project is to develop an algorithm that maps the building data from NSI data to be compatible with HAZUS building inventory. NSI data provides information about building material (i.e., concrete, steel, masonry, wood), number of stories, occupancy, and age. Though, HAZUS building inventory involves more detailed information about the structural system of the buildings (e.g., moment frames, shear walls, etc.). To map the limited data provided by NSI about the buildings to more detailed data by HAZUS, a MATLAB code is developed to do so.
DOI: 10.17603/ds2-jm3d-5720
title: Impacts of COVID-19 on the built environment: A systematic literature review

description: This project aims to offer a comprehensive compilation of the global literature on the role of COVID-19 pandemic on the built environment. As such, a multi-database (e.g., Web of Science, ProQuest and EBSCO) literature research from 2000-2023 resulted in 340 contents (e.g., articles, book chapters, and conference proceedings). The dataset includes the following information on 340 contents: i) complete reference information and ii) abstracts. This is the first known attempt to document and compile contents on role of COVID-19 pandemic on built environment. This dataset can be useful for information source for practitioners and researchers. The former can use the dataset to identify the current practice of collaboration between academics and practitioners while the latter can use the database to identify themes and patterns to demonstrate knowledge gaps and synthesize current knowledge.
DOI: 10.17603/ds2-jxny-s930
title: Gravity Driven Column and Slope Collapse
title: in Hybrid Finite Element and Material Point Method

description: This evaluates the performance of the hybrid FEM-MPM method by simulating the collapse of a simple granular column and two simple slopes. Multiple transfer times are considered to study the effect that transfer time has on the final runout of each model.
description: This project showcases a hybrid Finite Element (FEM) and Material Point (MPM) numerical method. The intent of this method is to model complex slope failures via a method capable of accurately capturing the entire failure, from initiation to runout. The method initializes a model in FEM and then, at a user-specified time, transfers the model into MPM. FEM is superior for capturing failure initiation, especially when complex mechanisms such as seismic liquefaction are at work, and MPM is superior at modeling large deformations.
DOI: 10.17603/ds2-nxbq-1s85
title: Disaster Recovery Guide for Planning Practitioners

description: To better support planners facing disaster recovery, APA and the Hazard Reduction and Recovery Center at Texas A&M University partnered for a two-year research project, funded through the Federal Emergency Management Agency's Cooperating Technical Partners program, that will result in a "Disaster Recovery Guide for Planning Practitioners." Phase One of the project involved designing and executing a mixed-methods approach for collecting evidence about what planners want and need from an "at-your-fingertips" recovery guide. The two primary research questions asked how planners perceive the disaster recovery process the role of planners in it, and what planners need to know about disaster recovery to better support their communities. The Quantitative Survey Report found that few participants had experience making plans for post-disaster recovery and did not regularly use existing recovery resources. Although the research suggests that there is currently a lack of education and training for disaster recovery planning, participants were receptive to future educational resources, specifically workshops, conferences, symposia, and other interactive training and tools. In the Qualitative Interview Report, themes similar to the survey findings emerged with more specific examples that portray the recovery context today's planners are dealing with.
DOI: 10.17603/ds2-pxeh-ma28
title: MATLAB Code: Topology optimization of stability-constrained structures with simple/multiple eigenvalues

description: This work provides topology optimization framework for designing structures with linear buckling constraints wherein eigenvalues of arbitrary multiplicities can be canonically considered. Archived in this data depot is the computational codes used in the manuscript titled: "Topology optimization of stability-constrained structures with simple/multiple eigenvalues”
DOI: 10.17603/ds2-14gb-k103
title: Untreated Loose Model - GLH10s
title: in Liquefaction resistance of MICP treated sands

description: A set of 1-m radius centrifuge tests on saturated loose Ottawa sand models treated to various cementation levels and subjected to multiple shaking events.  Changes in cone penetration resistance and shear wave velocity are monitored throughout each test.
description: An untreated loose model with an initial relative density of approximate 38% was saturated with a de-aired viscous fluid. The model was subjected to a series of shaking events. Cone penetration and shear wave velocity measurements were obtained at select times.
DOI: 10.17603/ds2-bvcb-7y13
title: Field Survey Dataset
title: in Hurricane Beryl: Reconnaissance of Wind and Storm-Surge Damage to Buildings in Houston and Galveston, Texas

description: Method: Smart phone devices
Types of buildings: Mid-to-high rise buildings in downtown Houston and low-rise buildings in residential areas
Types of damages: Wind-induced damage to roofs, walls, windows; Storm-induced erosion and scour around piles; No damage was observed to newly constructed buildings.
Sites of inspection: Downtown Houston, Northwest Houston, La Porte TX, Galveston TX, near University of Houston, Richmond TX
description: This project presents reconnaissance data collected in the aftermath of Hurricane Beryl, which made landfall on the Texas coast near Matagorda as Category 1 hurricane and hit the Houston area around 4 a.m. CDT on Monday, July 8, 2024. This dataset consists of images and videos that captured various types of damage caused by Beryl, including tree fallings, wind-induced damage to roofs, walls, windows, and erosion and scour caused by storm surge. For comparison purposes, the dataset also includes images of undamaged, newly constructed for the most part, buildings. In reviewing the images from downtown Houston, the reader is informed that windows covered with plywood, blackboards, or metal sheets are associated with damage caused by the Derecho, while windows damaged by Beryl had not yet been covered or repaired at the time of this field survey.
DOI: 10.17603/ds2-dq6s-8z25
title: Research Experiences for Undergraduates (REU), NSF NHERI 2024: Development of a Parametrized Fragility Database for Performance-Based Structural Fire Engineering

description: This project develops a database of fire fragility functions for steel moment frame columns using probabilistic performance-based analyses. Fragility functions estimate the probability of failure under specific fire loads, making them essential for assessing structural fire risk. This project presents a fragility database, parametrized by the demand-to-capacity ratios (DCRs) and column section sizes. The database provides a resource for structural engineers to evaluate fire performance efficiently, without the need for extensive simulations. It can be used to inform numerical models and risk assessments, supporting structural design and analysis of unprotected steel columns exposed to fire. This project addresses a critical gap in structural fire engineering by creating the first comprehensive database of fragility functions for analyzing structural fire behavior. The primary audiences are structural engineers and researchers in fire risk and resilience.
DOI: 10.17603/ds2-etyr-w675
title: Problems to Test VEW1D Techniques for Embedding 1D Channels in 2D ADCIRC hydrodynamic models
title: in Techniques to Embed Channels in Finite Element Shallow Water Equation Models

description: This collection of simulations tests the VEW1D techniques that are proposed to embed 1D channels in 2D ADCIRC hydrodynamic models
description: This project aims to develop and implement an efficient methodology for coupled tides/storm surge and hydrologic simulations. Channels in coastal and transient areas play roles both in bringing in and draining flood water during compound flooding events. Embedding large and small channels poses a significant challenge in terms of the balance between accurate geographical representation and computational costs. The methodology that is studied in this project and its implementation in ADCIRC hydrodynamic model address the challenge so that flood hazard information from high fidelity coupled simulations is delivered in a timely manner.
DOI: 10.17603/ds2-h5fa-xg57
title: Post Fire Landslide Hazards
title: in GEER - Rapid data acquisition for the investigation of post-fire landslide hazards in the Pacific Northwest

description: LiDAR and UAS data were captured at Finn Rock; LiDAR and UAS data were captured at Bogus Creek; UAS data were captured at Dodson. LiDAR was collected by means of Terrestrial Laser Scanning (TLS) and UAS data was created through the use of SfM (Structure from Motion) by drones.   At Dodson, two debris flow runout tracks and deposits were captured.  The debris flows affected forests (part unburned and part burned in the 2017 Eagle Creek fire) and roads (access to US-84 and the Historic Columbia River Highway).
description: This project produced high-resolution point cloud data related to post-fire geologic hazards at sites affected by the 2020 Holiday Farm, 2020 Archie Creek, and 2017 Eagle Creek Fires in western Oregon.  Data were acquired with terrestrial laser scanning and the structure-from-motion technique applied to Unmanned Aerial System optical imagery.  The surveys at the Holiday Farm and Archie Creek Fire sites captured perishable data 1-2 months after the fires, which could be used to characterize debris flow and rockfall hazard.  At the Eagle Creek Fire site, the data captured the runout and deposit extents of two debris flows that occurred about 3 years after the fire.  In addition to characterizing the topography at those times, the data could be reused with future repeat surveys to determine rates and patterns of topographic changes over time.  The intended audience for these data sets is scientists, engineers, and public officials interested in understanding and mitigating post-fire geologic hazards.
DOI: 10.17603/ds2-g6t9-wx70
title: A Database of Test Results from Steel and Reinforced Concrete Infilled Frame Experiments

description: Extensive experimental investigations into the behavior of reinforcement concrete and steel frames with infill have been carried out worldwide. However, there are very few systematically created and publicly available databases on infilled frame experiments. A database of infilled frame experiments, which currently includes 264 one story specimens with different types of frames and  infill panels, has been recently assembled. It has been utilized by the authors (in separate studies) to develop (i) empirical equations for modeling the infill panels as equivalent struts and (ii) machine learning models for failure mode classification. The intent is for the database to be augmented and further used in various other applications in studying the seismic behavior of masonry infilled frames.
DOI: 10.17603/ds2-jghh-nx53
title: Scotch Yoke Movement of a Shake Table
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: The following challenges are applications of the dynamics of a one-story structure with a vertical load and a horizontally applied force from a shake table. The shake table is made of 3D-printed components that create a scotch yoke mechanism to create linear motion from angular motion.  There are three challenges where Challenge 1 serves as an introduction for Challenges 2 and 3. The purpose of these challenges is to create a single-story structure that will move on the shake table. The displacement is measured and the frequency of the roof of that structure is found.
DOI: 10.17603/ds2-jv75-qf42
title: Research Experience for Undergraduates (REU), NHERI 2022: Implementing Physics Constraints into Graph Network-based Simulator for Natural Hazard Predictions

description: This project focuses on the process of further physically constraining a graph-based machine learning model, Graph Network-based Simulator (GNS), to limit the room for inaccuracy in the model’s predictions. GNS can be used to simulate particle dynamics which has the potential to predict many physically complex conditions such as natural hazards. With the advantage of natural hazard predictions, individuals may be warned of possible catastrophic damage caused by a natural hazard in advance which could greatly reduce loss through damages, property, and life. Professionals can use the data in this project to further improve the GNS model's predictions. This project is intended for anyone with an interest in Machine Learning and a desire to lessen the damages caused by natural hazards.
DOI: 10.17603/ds2-1tam-rt83
title: Business Survey

description: The business survey files in this document collection include the importable Qualtrics file, printed paper survey meant to be folded as a booklet (.pdf), and editable word file for the paper survey (.doc). Surveys differ based on whether they were deployed in southeastern Texas (Beaumont, TX and Port Arthur, TX) and southwestern Louisiana (Lake Charles, LA).
DOI: 10.17603/ds2-3v8q-7k69
title: Phase I - Current design practice
title: in University of Auckland Lightly Reinforced Concrete Wall Tests

description: A series of experimental tests of large-scale lightly reinforced concrete walls were conducted at the University of Auckland.  The test were used to investigate minimum vertical reinforcement provisions and formed the basis for revisions to the New Zealand Concrete Structures Standard (NZS 3101:2006 (A3)) and the US Building Code Requirements for Structural Concrete (ACI 318-19). This dataset summarizes the results from the 11 tested walls including all sensor data (load cell, LVDT, string-pot displacement gauge, displacement transducer and strain gauge). Detailed instrumentation plan, loading protocol, test sequences, test observations and photos that were taken throughout the testing are also provided.  The dataset is intended to serve as a reference for future work, as well as an open resource to be used in future research.
description: Six reinforced concrete walls designed with minimum distributed vertical reinforcement in accordance with NZS 3101:2006 (Amendment 2)
DOI: 10.17603/ds2-zj63-ge63
title: Models and Illustrative Case Study for Integrating Household Decisions in Quantifying the Seismic Resilience of Communities Subjected to Earthquake Sequences

description: A distributed simulation model is presented that integrates post-earthquake household decisions into quantifying the seismic resilience of communities subjected to earthquake sequences. A case study of a prototype community that comprises households with different socio-economic characteristics in accordance with a typical small U.S. community is used to show the influence that household decisions have on the overall seismic resilience of the community. The case study demonstrates the flexibility of the distributed computation scheme in linking models rooted in different disciplines.