cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30555572.v1
title: Comparative Evaluation of Analgesics in a Murine Bile Duct Ligation Model

description: <b>Background: </b>Reliable analgesia is essential to ensure animal welfare and experimental validity in preclinical disease models. However, evidence on the efficacy and side effects of analgesics remains limited. This study investigated the effects of three commonly used analgesics on animal well-being in a murine model of cholestasis. <b>Methods: </b>Thirty male C57BL/6J mice underwent transmitter implantation followed by bile duct ligation (BDL) and received continuous metamizole (3 g/L), tramadol (1 g/L), or carprofen (0.15 g/L) via drinking water before and after surgery. Welfare was evaluated using multiple parameters, including body weight, a distress score, drinking volume, burrowing and nesting behavior, mouse grimace scale (MGS), and telemetric data (heart rate, heart rate variability: SDNN and RMSSD, core body temperature, and locomotion). Additionally, liver and gastrointestinal tissues were analyzed histologically for necrosis and immune cell infiltration. <b>Results: </b>Even prior to surgery, analgesic-specific reductions in body weight, drinking behavior, and burrowing and nesting activity were observed. After transmitter implantation, metamizole treatment led to significantly reduced body weight, drinking volume, and locomotion compared to the other two analgesics. Following BDL, all treatment groups exhibited pronounced distress, weight loss, and reduced activity. Tramadol treatment resulted in slightly improved MGS and SDNN values, indicating minor benefits without sustained welfare restoration. In contrast, carprofen treatment was associated with reduced survival and inflammatory alterations in the forestomach. <b>Conclusions</b>: None of the tested analgesic regimens fully restored animal welfare after BDL. However, tramadol provided modest advantages, suggesting it may represent the most suitable option among the tested analgesics for the BDL model.
DOI: 10.17026/ar/bfc3xh
title: PAN-00169411 - thin stem of unknown utensil (Roman period)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00169411&lt;/p&gt;
description: Modified: 2025-05-05T17:40:19+02:00
DOI: 10.34740/kaggle/dsv/13988675
title: Peer-to-Peer Boliviano (BOB) Exchange Data
DOI: 10.15468/dl.x4xt7e
title: Occurrence Download

description: A dataset containing 40 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dobsonia chapmani",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 40 records from 4 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027845-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.naaku9
title: Occurrence Download

description: A dataset containing 491 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.55812 53.42132,-4.58381 53.40783,-4.60596 53.3462,-4.71022 53.29845,-4.66833 53.26863,-4.63057 53.26619,-4.61308 53.2333,-4.56561 53.23779,-4.52564 53.21385,-4.52064 53.18841,-4.47567 53.16595,-4.44069 53.13898,-4.35324 53.12099,-4.31577 53.12699,-4.27329 53.15097,-4.20833 53.18242,-4.19084 53.21086,-4.12838 53.24078,-4.07342 53.25722,-4.03594 53.2871,-4.01595 53.30652,-4.02345 53.33338,-4.09091 53.3304,-4.14087 53.33189,-4.18835 53.31846,-4.20583 53.33935,-4.21333 53.35874,-4.25331 53.37961,-4.24331 53.4094,-4.32326 53.43323,-4.44319 53.44216,-4.55812 53.42132))",
 "HasGeospatialIssue is false",
 "TaxonKey is Sciurus vulgaris",
 "Year 2000-2025"
 ]
}

 The dataset includes 491 records from 11 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027846-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.98hgju
title: Occurrence Download

description: A dataset containing 3978 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Animalia",
 "VerbatimScientificName is Proboscidea",
 "Year 1000-2025"
 ]
}

 The dataset includes 3978 records from 20 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027847-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qfp479
title: Occurrence Download

description: A dataset containing 3850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-4.61157 53.48462,-4.75068 53.23266,-4.35699 53.05156,-4.09366 53.1303,-3.96506 53.39976,-4.61157 53.48462))",
 "TaxonKey is Fungi",
 "Year 2020-2025"
 ]
}

 The dataset includes 3850 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027848-251120083545085/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.30784754
title: Netlogo model and Medawar code

description: CET_medawar_code: R code to compile hodson earthworm dataset, run approximate bayesian computing and provide behvaiour space text for NetLogo to run upscaling experimentEEEWorm_medawar_experiment: NETLOGO 3D model version of EEEWorm Experiment_text.csv: example behaviour space text for experimenthodson_swp and hodson_temp: environmental time series for each hodson site used to simulate earthworm histories.
DOI: 10.6084/m9.figshare.30784754.v1
title: Netlogo model and Medawar code

description: CET_medawar_code: R code to compile hodson earthworm dataset, run approximate bayesian computing and provide behvaiour space text for NetLogo to run upscaling experimentEEEWorm_medawar_experiment: NETLOGO 3D model version of EEEWorm Experiment_text.csv: example behaviour space text for experimenthodson_swp and hodson_temp: environmental time series for each hodson site used to simulate earthworm histories.
DOI: 10.17026/ar/ywluab
title: PAN-00017014 - copper alloy pin and spring (unknown brooch with external chord)

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00017014&lt;/p&gt;
description: Modified: 2025-07-22T16:25:55+02:00
DOI: 10.15468/dl.kyud7w
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dobsonia emersa",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027850-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/8rjszd
title: PAN-00174940 - Knickfibel Almgren 19

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00174940&lt;/p&gt;
description: Modified: 2025-06-05T08:44:58+02:00
DOI: 10.15468/dl.bqr9pa
title: Occurrence Download

description: A dataset containing 246466 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.5389 51.09254,2.55656 51.06778,2.61942 51.09056,2.60211 51.11367,2.5389 51.09254))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 246466 records from 125 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027767-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kpp8cy
title: Occurrence Download

description: A dataset containing 54786 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "TaxonKey is Puffinus mauretanicus"
 ]
}

 The dataset includes 54786 records from 45 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027787-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/dans-z5s-mnzt
title: PAN-00141539 - terra sigillata plate type Drag. 31

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00141539&lt;/p&gt;
description: Modified: 2025-09-09T17:12:51+02:00
DOI: 10.15468/dl.fjznh7
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dobsonia pannietensis",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027851-251120083545085/datasets/export for details.
DOI: 10.34658/rdb.jjrgxd/xpdedl
title: Rys10c_spectrumRAW.txt

description: :unav
DOI: 10.34658/rdb.jjrgxd/pjfrwg
title: Rys10a.jpg

description: :unav
DOI: 10.34658/rdb.jjrgxd/gcotta
title: Rys10c_noise.txt

description: :unav
DOI: 10.34658/rdb.jjrgxd/aeqrfb
title: Rys10c_corrections.txt

description: :unav
DOI: 10.34658/rdb.jjrgxd/swwdiw
title: Rys9c_data.tab

description: :unav
DOI: 10.34658/rdb.jjrgxd/3hewsv
title: Rys5.jpg

description: :unav
DOI: 10.34658/rdb.jjrgxd/iyehge
title: Rys1_2 warstwa E350_QDs_nieb.FS

description: :unav
DOI: 10.34658/rdb.jjrgxd/ddincl
title: Rys1_2 warstwa E350_QDs_ziel.FS

description: :unav
DOI: 10.34658/rdb.jjrgxd/xs9qwx
title: Rys10b,d.txt

description: :unav
DOI: 10.34658/rdb.jjrgxd/bat8j8
title: Rys1 roztwor E390_QD__nieb.FS

description: :unav
DOI: 10.34658/rdb.jjrgxd/mjxge8
title: Rys4.nid

description: :unav
DOI: 10.34658/rdb.jjrgxd/fuqudl
title: Rys3.nid

description: :unav
DOI: 10.34658/rdb.jjrgxd/v6ivrz
title: Rys1_2 warstwa E350_QDs_czer.FS

description: :unav
DOI: 10.34658/rdb.jjrgxd/78lmhz
title: Rys1 roztwor E350_QDs_czer.FS

description: :unav
DOI: 10.34658/rdb.jjrgxd/iocbml
title: Rys6.jpg

description: :unav
DOI: 10.34658/rdb.jjrgxd/qgjxuc
title: Rys1 roztwor E350_QDs_ziel.FS

description: :unav
DOI: 10.34658/rdb.jjrgxd/dcfcv2
title: Rys9c_spectra.tab

description: :unav
DOI: 10.34658/rdb.jjrgxd
title: Replication Data for: Final Report

description: Replication Data for the Final Report
DOI: 10.34658/rdb.jjrgxd/tn222q
title: Rys9abd.txt

description: :unav
DOI: 10.17026/ar/nzkczk
title: PAN-00079131 - smelt waste or lump of lead

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00079131&lt;/p&gt;
description: Modified: 2025-07-11T09:46:11+02:00
DOI: 10.18419/darus-5008
title: Simulation Results from an SPH Approach to Model the Influence of Assist Gas Forces in Laser Cutting

description: &lt;b&gt;Laser Cutting&lt;/b&gt;&lt;/br&gt;
Laser cutting is a non-contact thermal-based material removal method that offers various advantages over conventional machining processes. The workpiece is melted by a high-powered laser beam and the resulting melt is blown away by a jet of gas. The laser assist gas is crucial as it influences the cutting speed, edge quality, and thermal effects, ultimately affecting the overall efficiency and accuracy of the process. However, modeling the laser assist gas domain is highly challenging due to the immense computational costs associated when dealing with shock waves, turbulence, and high speed jet dynamics.
&lt;/br&gt;&lt;/br&gt;
&lt;b&gt;SPH Model of Assist Gas Forces in Laser Cutting&lt;/b&gt;&lt;/br&gt;
The corresponding publication presents an approach to model the formation of the cutting front and the dynamics of the melt film, influenced by the cutting assist gas forces acting upon it, using the Smoothed Particle Hydrodynamics (SPH) method. SPH is able to deal with large material displacements and moving boundaries occurring in the laser cutting process.&lt;/br&gt;
The forces applied to the melt film and cutting kerf are modeled using the Continuum Surface Force approach and boundary particle detection. Consequently, the effects of the assist gas are calculated without modelling the assist gas phase domain, saving a significant amount of computational cost and reducing the complexity of the model. The SPH model is coupled with a ray-tracing scheme and a Fresnel absorption model to determine the laser material interaction.
&lt;/br&gt;&lt;/br&gt;
The presented approach is compared against experimental data from literature, showing good agreement with the experimentally observed cutting front formation, melt rejection, phase transition, dross formation, and striation patterns. The results show that the SPH method can be effectively applied in applications related to laser cutting, showing its potential to design precise and accurate numerical models. Moreover, the proposed parameterized model can help to optimize process parameters to maximize material utilization and reduce energy consumption, operational cost, and processing time during laser cutting.
&lt;/br&gt;&lt;/br&gt;
The videos provided show the simulation results for different boundary conditions and material properties in laser cutting applying the presented SPH model of the assist gas forces.
DOI: 10.15468/dl.baqqm2
title: Occurrence Download

description: A dataset containing 967 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Dolichotis patagonum",
 "HasCoordinate is TRUE"
 ]
}

 The dataset includes 967 records from 34 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027853-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5519/qd.rtirkucz
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (1 records)
DOI: 10.15468/dl.vk2pp3
title: Occurrence Download

description: A dataset containing 26 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is one of (Spain, Portugal)",
 "TaxonKey is Puffinus mauretanicus",
 "Year 1000-1970"
 ]
}

 The dataset includes 26 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027854-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/nulnuq
title: PAN-00180221 - deeper terra sigillata plate with curved bottom

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00180221&lt;/p&gt;
description: Modified: 2025-09-30T09:33:30+02:00
DOI: 10.15468/dl.6vyqv5
title: Occurrence Download

description: A dataset containing 2183 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "GadmGid is GBR.4_1",
 "Geometry POLYGON((-4.18684 53.21837,-4.18346 53.21556,-4.18081 53.2145,-4.17684 53.21644,-4.16302 53.21802,-4.16714 53.22278,-4.16934 53.22515,-4.17449 53.22507,-4.17846 53.2241,-4.18375 53.22154,-4.18684 53.21837))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "Year 2015-2025"
 ]
}

 The dataset includes 2183 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0027855-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.14808597
title: Structural Nonlinearities for a Single Degree of Freedom System-MATLAB II

description: This repository contains part of a comprehensive collection of synthetic displacement time-series datasets developed to support the study “Data-Driven Classification of Structural Nonlinearities Using Interpretable Deep Learning on Time Series.” The datasets model the dynamic response of single-degree-of-freedom (SDOF) systems that exhibit a range of structural nonlinearities, including cubic stiffness (hardening/softening), Coulomb friction, clearance, and quadratic damping.

Each sample consists of a 100,000-point univariate time series, generated by numerically solving the governing nonlinear equations of motion under logarithmic sweep-sine excitation. Solver environments include MATLAB (ode45, RK4/5) and Julia (Vern7), with systematic variations in sweep rate, forcing amplitude, stiffness/damping parameters, and additive Gaussian noise.The benchmark suite includes both binary-class datasets and more challenging six-class datasets, enabling controlled evaluation of classification models and post-hoc interpretability methods.



Reason for Multiple Zenodo Deposits

The complete dataset collection is too large to fit within Zenodo’s upload limits for a single record.To ensure full accessibility, the benchmark suite has been divided into three coordinated Zenodo uploads, with each part containing a distinct subset of the datasets used in the paper.Together, these deposits constitute the full dataset release.



Dataset Overview

This deposit contains one subset of the following datasets (full list shown for reference):





LNM1, LNJ1: Binary linear vs. nonlinear classification (2 classes)




DM1, DJ1: Six-class Duffing-type nonlinearities




DJ19: Six-class dataset with 19 forcing amplitudes




ONM19, OWM19, ONJ19, OWJ19: Reproductions and extensions of the Ondra et al. datasets, with and without added noise



These datasets differ in complexity, solver type, and noise levels, allowing users to evaluate model robustness and interpretability across a wide range of nonlinear dynamic behaviors.



File Formats





CSV (.csv) — displacement time series stored as rows or columns




MATLAB (.mat) — MATLAB-compatible structured arrays for efficient loading




Every sample includes:





100,000-point displacement signal




Integer-encoded class label




Metadata: solver type, forcing parameters, SNR, dataset identifier







How to Cite

Please cite the associated research:



Abusalameh, B., Wei, J., & Mengaldo, G. (2025). Data-Driven Classification of Structural Nonlinearities Using Interpretable Deep Learning on Time Series.


and cite this Zenodo record using its DOI.
DOI: 10.5281/zenodo.14808596
title: Structural Nonlinearities for a Single Degree of Freedom System-MATLAB II

description: This repository contains part of a comprehensive collection of synthetic displacement time-series datasets developed to support the study “Data-Driven Classification of Structural Nonlinearities Using Interpretable Deep Learning on Time Series.” The datasets model the dynamic response of single-degree-of-freedom (SDOF) systems that exhibit a range of structural nonlinearities, including cubic stiffness (hardening/softening), Coulomb friction, clearance, and quadratic damping.

Each sample consists of a 100,000-point univariate time series, generated by numerically solving the governing nonlinear equations of motion under logarithmic sweep-sine excitation. Solver environments include MATLAB (ode45, RK4/5) and Julia (Vern7), with systematic variations in sweep rate, forcing amplitude, stiffness/damping parameters, and additive Gaussian noise.The benchmark suite includes both binary-class datasets and more challenging six-class datasets, enabling controlled evaluation of classification models and post-hoc interpretability methods.



Reason for Multiple Zenodo Deposits

The complete dataset collection is too large to fit within Zenodo’s upload limits for a single record.To ensure full accessibility, the benchmark suite has been divided into three coordinated Zenodo uploads, with each part containing a distinct subset of the datasets used in the paper.Together, these deposits constitute the full dataset release.



Dataset Overview

This deposit contains one subset of the following datasets (full list shown for reference):





LNM1, LNJ1: Binary linear vs. nonlinear classification (2 classes)




DM1, DJ1: Six-class Duffing-type nonlinearities




DJ19: Six-class dataset with 19 forcing amplitudes




ONM19, OWM19, ONJ19, OWJ19: Reproductions and extensions of the Ondra et al. datasets, with and without added noise



These datasets differ in complexity, solver type, and noise levels, allowing users to evaluate model robustness and interpretability across a wide range of nonlinear dynamic behaviors.



File Formats





CSV (.csv) — displacement time series stored as rows or columns




MATLAB (.mat) — MATLAB-compatible structured arrays for efficient loading




Every sample includes:





100,000-point displacement signal




Integer-encoded class label




Metadata: solver type, forcing parameters, SNR, dataset identifier







How to Cite

Please cite the associated research:



Abusalameh, B., Wei, J., & Mengaldo, G. (2025). Data-Driven Classification of Structural Nonlinearities Using Interpretable Deep Learning on Time Series.


and cite this Zenodo record using its DOI.
DOI: 10.6084/m9.figshare.30785045
title: Supplementary Material for: Association Between Thyroid-Stimulating Hormone and Tooth Loss Risk in Community-Dwelling Older Adults in Taipei City: A Prospective Cohort Study

description: Background: This study assessed the association between thyroid-stimulating hormone (TSH) levels and the risk of tooth loss.
Methods: From 2005 to 2013, 56,743 community-dwelling individuals aged ≥65 years underwent biennial physical examinations in Taipei. Dental evaluations documented tooth count and TSH levels were measured using a third-generation assay. Participants averaged 3.4 follow-ups over 4.9 years and were categorized into four groups based on plasma TSH concentrations. A generalized estimating equation model analyzed the longitudinal relationship between tooth loss and TSH levels
Results: Participants’ mean age was 73.1 years (SD, 6.3), being highest in the clinical hypothyroidism group (74.6 years) and lowest in the euthyroid group (73.0 years). Hypertension and diabetes were more prevalent in the clinical hypothyroidism group. Periodontitis rates were consistent across TSH categories, and 81.5% of participants retained ≥20 teeth, 12.0% had 10–19 teeth, and 6.5% had 1–9 teeth. Severe tooth loss (1–9 teeth) was slightly more frequent in the clinical hypothyroidism group (6.7%), suggesting a potential link between thyroid function and tooth retention. Multivariable-adjusted models found no significant association between subclinical hypothyroidism and tooth loss, whereas clinical hypothyroidism reduced risk (OR = 0.82, 95% CI: 0.74–0.92). Stratified analysis showed this protective effect in those with ≥20 teeth and in individuals aged 65–75 years (OR = 0.79). Conversely, subclinical hypothyroidism increased tooth loss risk in participants aged ≥75 years (OR = 1.12). Sex-stratified analysis revealed 26% lower risk in females with clinical hypothyroidism (OR = 0.74), suggesting age- and sex-specific influences of thyroid function on oral health.
Conclusion: This study suggests a link between clinical hypothyroidism and reduced tooth loss, particularly in women and individuals aged 65–75 years. Conversely, subclinical hypothyroidism in persons ≥75 years correlates with greater risk, underscoring the role of thyroid function in geriatric oral health.