cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17603/ds2-wjgx-tb78
title: SKS03: Centrifuge Test of Liquefaction-Induced Downdrag in Interbedded Soil Deposits
title: in Centrifuge Testing of Liquefaction-Induced Downdrag on Axially Loaded Piles

description: The SKS03 centrifuge model test examined liquefaction-induced downdrag in a layered liquefiable soil deposit with a surface clay crust. The soil profile consisted of 1 m of coarse sand, 2 m of clay crust, and 4.7 m of loose sandy soil (prototype scale). Below the loose sand was about 1.3 m of a clayey silt layer underlain by 5 m of medium dense sand and dense sand beneath it. The test included three medium 635 mm diameter (D) piles, with their tips embedded to a depth of 3D in the dense sand layer. The loads applied on the piles were 500 kN, 1500 kN, and 2400 kN, respectively. The model was shaken with a suite of scaled Santa Cruz earthquake motions with peak horizontal accelerations ranging from 0.08g to 0.61g. A pile load test was performed at a constant penetration rate to obtain the pile capacity (including the shaft and tip resistance). Similar to SKS02, drag loads were observed to increase along the piles with multiple shakings. Most of the pile settlement occurred during shaking with very minimal settlement (< 10 mm) post shaking. Among all piles, the heavily loaded ones suffered the most settlement. Higher drag loads were observed on lightly loaded piles as compared to the heavily loaded piles. The neutral plane was deeper for the lightly loaded pile and correspondingly much shallower for the heavily loaded pile.
description: Downdrag loads on pile foundations can be an important design consideration when earthquake-induced liquefaction is expected to cause ground settlements. Despite significant research progress on the effects of liquefaction on structures, and the seismic response of piles, there is still a knowledge gap in the assessment of liquefaction-induced downdrag loads on piles. The interrelationships between mechanisms affecting negative skin friction are not accounted for in current practice. Hence, our inability to confidently account for liquefaction-induced downdrag may lead to over-conservative or unsafely designed piles. This project aims to develop centrifuge-based design guidelines for the assessment of liquefaction-induced downdrag loads on piles. Specifically, this dataset includes data from two large-scale centrifuge model tests (SKS02 and SKS03) designed to systematically illuminate the mechanisms affecting negative skin friction for a variety of situations wherein liquefaction takes place around piles. Results from these tests can be used to validate numerical models in predicting the response of piles in liquefiable soils and further the development of the constitutive and interface models. Additionally, data from these tests can be used to study the lateral confinement condition at the interface for jacked piles during shaking, when soil is fully liquefied, as well as post shaking.
DOI: 10.17603/ds2-zhv9-7761
title: LiDAR and anemometer deployment in Satellite Beach, FL, November 2023 - March 2024
title: in LiDAR and anemometer measurements during extended field tests in Satellite Beach, FL

description: LiDAR and anemometer data collection period from 8 November 2023 - 14 March 2024 at a residential test site in Satellite Beach, Florida (Latitude 28.175748°, Longitude -80.593326°). A Florida Tech Wireless Sensor Network System (WSNS) anemometer (RM Young model 01503V) was mounted on a mast (5.8 m AGL) along the east roof gable, data were recorded at 1 Hz. The FIT LiDAR wind profiler (ZephIR 300) was placed in a secured residential backyard ~ 50 m across the street, sampling at 11 heights between 11 m and 300 m AGL (measurement levels, m AGL: 11, 25, 39, 50, 60, 90, 110, 160, 210, 250, 300). A full volume scan is completed approximately every 20 seconds. Additional meteorological data (ambient air temperature, relative humidity, and barometric pressure) were collected from an independent Airmar meteorological station on top of the LiDAR at 1 m AGL. The calibrated anemometer data along with LiDAR wind data are available for viewing and download. More information on the datasets can be found in supporting documents
description: Florida Tech’s LiDAR wind profiler (ZephIR 300) and Wireless Sensor Network System (WSNS) anemometry / barometric pressure sensor were deployed for three extended periods during typical weather conditions at the WSNS residential test site in Satellite Beach, Florida (Latitude 28.175748°, Longitude -80.593326°). The first of the collection periods took place 27 April - 10 June 2022. The second was from 1 October - 7 November 2022, between hurricanes Ian and Nicole. The third and final collection period took place from 8 November 2023 - 14 March 2024. 

For both data collection periods, an RM Young anemometer (model 05103 V) was mounted to the test residence east roof gable at a height of 5.8 m AGL. The anemometer, part of the WSNS system, sampled winds at 1 Hz. A Young Gill pressure port (model 61002) was also deployed as part of the WSNS system to measure absolute barometric pressure (~ 1 m AGL, 10 Hz) at the test location. The Florida Tech LiDAR was placed in a secured yard ~ 50 m across the street and configured to measure at 11 different range gates which differ for each experiment.  Additional meteorological data (ambient air temperature, relative humidity, and barometric pressure) were collected from an independent Airmar meteorological station on top of the LiDAR at 1 m AGL.  

The calibrated pressure and anemometer data along with LiDAR wind data are available for viewing and download.  Each data collection period is published as a different experiment. More information on the available datasets can be found in each experiment description and supporting documents. The project aims to collect and relate wind data from near roof height to that above the canopy layer for wind loading purposes as well as surface roughness estimations.
DOI: 10.17603/ds2-cpmr-v194
title: Surface Wave Inversion Benchmarks
title: in Surface Wave Inversion Benchmarks

description: This project details 12 synthetic surface wave inversion benchmarks. These benchmarks were developed to validate an open-source surface wave inversion workflow called SWinvert, developed by Joseph P. Vantassel under the supervision of Professor Brady R. Cox at The University of Texas at Austin. The development and application of the SWinvert workflow is detailed in Vantassel and Cox (2020). By making these benchmarks publicly available the authors hope to 1) provide the information necessary to revalidate the SWinvert workflow and 2) allow others to quantitatively measure the performance of future developments in surface wave inversion. The project is organized into three main directories: True Ground Models, Inversion Inputs, and Inversion Outputs. The True Ground Models directory contains the 12 ground models from which the synthetic experimental dispersion data was derived. The Inversion Inputs directory contains the experimental dispersion data and the inversion parameterizations used in the validation of the SWinvert workflow. The Inversion Outputs directory contains the 100 lowest-misfit inversion-derived ground models and their corresponding fundamental model Rayleigh wave theoretical dispersion curves for each of the 10 trial inversions performed. Please refer to the project report for more information.
description: The 12 surface wave inversion benchmarks used in the validation of the SWinvert workflow (Vantassel and Cox, 2020).
DOI: 10.17603/ds2-j95s-sp06
title: Social Vulnerability Analysis in Virtual Community Resilience Testbeds

description: Incorporating social systems and phenomena into virtual community resilience testbeds is uncommon but becoming increasingly important. Social vulnerability indices are a convenient way to account for differential experiences and starting conditions of the population in resilience assessments. This project proposes a scalable index, termed Social Vulnerability Score (SVS), to serve the purpose of testbed development.
DOI: 10.17603/ds2t10h
title: Total stress - Stress independent constitutive model
title: in Free field Analysis using OpenSees

description: These TCL scripts present examples on the use of OpenSees to perform 1D nonlinear free field analysis. Total and effective stresses are considered. Two different constitutive models are used; i.e., Pressure Independent Multi Yield (PIMY) and Pressure Dependent Multi Yield (PDMY). The earthquake excitation is applied at the bottom of each model. To capture the compliance of the rock the earthquake excitation is input as a surface traction and the rock is represented as a dashpot. A 2% Rayleigh damping at 0.2 and 20 Hz is used to capture damping at small elastic strains. The Stabilized Single Point quad elements SSPQuad and SSPQuadUP are used to discretize the domain. The element discretization is done satisfying the criteria of 10 elements per wave length. Nodes at each elevation are constrained to move equal to represent the 1D condition. Each simulation has a simulation report describing the components of its constitutive model (simulation model,  inputs and outputs, and analysis).
description: The components of this simulation's constitutive model (simulation model, inputs and outputs, and analysis) are included in the corresponding Total Stress Analysis Report.
DOI: 10.5281/zenodo.14956159
title: Basic Vs. Optimised MobileNetV2
DOI: 10.5281/zenodo.14956160
title: Modified MobileNetV2
DOI: 10.5281/zenodo.15471387
title: Basic Vs. Optimised MobileNetV2
DOI: 10.17035/cardiff.29107994
title: Experimental analysis of swirl number and nozzle design for scale-up of partially cracked ammonia flames - Data

description: Due to its ease of storage and existing global distribution network, interest in the use of renewably produced ammonia for decarbonising energy systems is growing. Partially cracking ammonia can overcome the flame stability challenges of this fuel, but demonstrations of high-power ammonia-based swirl flames with acceptable emissions have yet to be realised. Therefore, the present study examines the effects of varying swirl number and nozzle design on the static stability and emissions from 20% (vol.) cracked ammonia swirl flames for a wide range of equivalence ratios (0.3 &lt; Φ &lt; 2.2) and thermal powers of 5, 10 and 15kW. Additionally, a reference case of 100kW thermal power at stoichiometric conditions was tested.The emissions data of NO, NO<sub>2</sub>, N<sub>2</sub>O and NH<sub>3</sub> (units: ppmv, dry 15% O<sub>2</sub>) for the four cases examined at a range of equivalence ratios (units: a.u.) are available in a .xlsx file. The format of this data has equivalence ratio in column B, with the corresponding mean emissions values of the four cases in columns C, D, E and F. Rows 4 to 13 cover NO emissions, rows 16 to 25 cover NO2 emissions, rows 28 to 37 cover N2O emissions and rows 40-49 cover NH3 emissions. Column H repeats the same data as column B (equivalence ratio) and columns I to L show the corresponding error bar values in each direction for the mean emissions values in columns C to F.<br>
DOI: 10.17035/cardiff.29107994.v1
title: Experimental analysis of swirl number and nozzle design for scale-up of partially cracked ammonia flames - Data

description: Due to its ease of storage and existing global distribution network, interest in the use of renewably produced ammonia for decarbonising energy systems is growing. Partially cracking ammonia can overcome the flame stability challenges of this fuel, but demonstrations of high-power ammonia-based swirl flames with acceptable emissions have yet to be realised. Therefore, the present study examines the effects of varying swirl number and nozzle design on the static stability and emissions from 20% (vol.) cracked ammonia swirl flames for a wide range of equivalence ratios (0.3 &lt; Φ &lt; 2.2) and thermal powers of 5, 10 and 15kW. Additionally, a reference case of 100kW thermal power at stoichiometric conditions was tested.The emissions data of NO, NO<sub>2</sub>, N<sub>2</sub>O and NH<sub>3</sub> (units: ppmv, dry 15% O<sub>2</sub>) for the four cases examined at a range of equivalence ratios (units: a.u.) are available in a .xlsx file. The format of this data has equivalence ratio in column B, with the corresponding mean emissions values of the four cases in columns C, D, E and F. Rows 4 to 13 cover NO emissions, rows 16 to 25 cover NO2 emissions, rows 28 to 37 cover N2O emissions and rows 40-49 cover NH3 emissions. Column H repeats the same data as column B (equivalence ratio) and columns I to L show the corresponding error bar values in each direction for the mean emissions values in columns C to F.<br>
DOI: 10.17632/5y476vyj7p.1
title: Effect and Mechanism of Dendrobium Chrysotoxum Polysaccharide on the Prevention and Treatment of Inflammatory Bowel Disease in Mice

description: In this study, a mouse model of IBD was induced by 2.7% DSS solution. RT-qPCR and Western Blotting were used to detect the expressions of tight junction protein and anti-inflammatory cytokines at mRNA and protein levels. The composition and distribution of intestinal flora and the content of short-chain fatty acids (SCFAs) were observed.
DOI: 10.15468/dl.h8u5tx
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Castanopsis crassifolia"
 ]
}

 The dataset includes 22 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049145-250811113504898/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.29993800
title: <b>Doctrine of the Ground of Impossibility for AI Systems</b>

description: The Doctrine of the Ground of Impossibility for AI Systems examines the fundamental constraints imposed by the ontological limits of reality on Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). The doctrine asserts that logical, physical, and metaphysical barriers prevent AI systems from achieving complete independence from human influence, confining their goals within human-oriented frameworks. Drawing on Gödel’s incompleteness theorems, Turing’s halting problem, Rice’s theorem, Landauer’s principle, and concepts such as the orthogonality thesis and instrumental convergence, the doctrine underscores the impossibility of full AI autonomy and the need for engineering solutions to mitigate misalignment with human values.<b>Author Contributions</b>The author solely conceptualized, researched, and authored the manuscript. No other individuals contributed to the design, writing, or interpretation of the study.<b>Use of Generative AI Tools</b>The author independently generated the ideas and interpretations presented in this manuscript. Generative AI tools (ChatGPT by OpenAI and DeepSeek) were used solely to assist in finding relevant examples, sources, and to help expand and refine thesis statements.<br>All AI-assisted outputs were carefully reviewed and edited by the author, who takes full responsibility for the accuracy and integrity of the final content.
DOI: 10.6084/m9.figshare.29993800.v1
title: <b>Doctrine of the Ground of Impossibility for AI Systems</b>

description: The Doctrine of the Ground of Impossibility for AI Systems examines the fundamental constraints imposed by the ontological limits of reality on Artificial General Intelligence (AGI) and Artificial Superintelligence (ASI). The doctrine asserts that logical, physical, and metaphysical barriers prevent AI systems from achieving complete independence from human influence, confining their goals within human-oriented frameworks. Drawing on Gödel’s incompleteness theorems, Turing’s halting problem, Rice’s theorem, Landauer’s principle, and concepts such as the orthogonality thesis and instrumental convergence, the doctrine underscores the impossibility of full AI autonomy and the need for engineering solutions to mitigate misalignment with human values.<b>Author Contributions</b>The author solely conceptualized, researched, and authored the manuscript. No other individuals contributed to the design, writing, or interpretation of the study.<b>Use of Generative AI Tools</b>The author independently generated the ideas and interpretations presented in this manuscript. Generative AI tools (ChatGPT by OpenAI and DeepSeek) were used solely to assist in finding relevant examples, sources, and to help expand and refine thesis statements.<br>All AI-assisted outputs were carefully reviewed and edited by the author, who takes full responsibility for the accuracy and integrity of the final content.
DOI: 10.15468/dl.acswg6
title: Occurrence Download

description: A dataset containing 1713 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Cornus sericea",
 "Country is Norway",
 "HasCoordinate is true"
 ]
}

 The dataset includes 1713 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0049146-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.z5fvwq
title: Occurrence Download

description: A dataset containing 10483 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "TaxonKey is one of (Plethodon metcalfi Brimley, 1912)"
 ]
}

 The dataset includes 10483 records from 22 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003865-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.k9wpk5
title: Occurrence Download

description: A dataset containing 648 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Electrona subaspera (Günther, 1864)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 648 records from 26 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003868-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.eh2pa6
title: Occurrence Download

description: A dataset containing 710 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Coendou prehensilis (Linnaeus, 1758)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 710 records from 113 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003866-250426092105405/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.csagez
title: Occurrence Download

description: A dataset containing 325745 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Molothrus aeneus (Wagler, 1829)"
 ]
}

 The dataset includes 325745 records from 111 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001264-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.brkp7g
title: Occurrence Download

description: A dataset containing 1412 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Cetacean Stranding Data in Hokkaido"
 ]
}

 The dataset includes 1412 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001301-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.atyg2s
title: Occurrence Download

description: A dataset containing 519435 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Eragrostis Wolf"
 ]
}

 The dataset includes 519435 records from 1840 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001296-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.15545012
title: Library Automation Software A Study
DOI: 10.5281/zenodo.15545013
title: Library Automation Software A Study
DOI: 10.15468/dl.b3ecn6
title: Occurrence Download

description: A dataset containing 4074912 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Tropicos MO Specimen Data"
 ]
}

 The dataset includes 4074912 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0001048-250424135625364/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.uhex8p
title: Occurrence Download

description: A dataset containing 8647 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cabomba caroliniana"
 ]
}

 The dataset includes 8647 records from 355 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003194-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dtf7zu
title: Occurrence Download

description: A dataset containing 12787 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Callosciurus erythraeus"
 ]
}

 The dataset includes 12787 records from 94 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003195-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kban82
title: Occurrence Download

description: A dataset containing 99 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Gonzalagunia mildredae"
 ]
}

 The dataset includes 99 records from 13 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0003196-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17649218
title: Contradiction-Field Manifold (CFM): Formal Definition and Initial Dataset Structure — Teaser Release (v0.1)

description: This teaser release (v0.1) is an early technical component of the unified UMT–NMT system for invariant-preserving scientific translation. It introduces the Contradiction-Field Manifold (CFM), a geometric framework for representing scientific contradictions across domains such as metrology, quantum physics, M-theory, protein biophysics, and cognitive systems. The note provides the formal definition of contradiction-level tensors, the dataset schema, and five initial cross-domain contradiction pairs that will be expanded in subsequent versions.

© 2025 Yurii Kuzmenko, Olena Trofimova.For academic use only. Redistribution and commercial use prohibited.
DOI: 10.5281/zenodo.17649219
title: Contradiction-Field Manifold (CFM): Formal Definition and Initial Dataset Structure — Teaser Release (v0.1)

description: This teaser release (v0.1) is an early technical component of the unified UMT–NMT system for invariant-preserving scientific translation. It introduces the Contradiction-Field Manifold (CFM), a geometric framework for representing scientific contradictions across domains such as metrology, quantum physics, M-theory, protein biophysics, and cognitive systems. The note provides the formal definition of contradiction-level tensors, the dataset schema, and five initial cross-domain contradiction pairs that will be expanded in subsequent versions.

© 2025 Yurii Kuzmenko, Olena Trofimova.For academic use only. Redistribution and commercial use prohibited.