cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.30837026
title: Bounded kinodynamic planning with Lyapunov-based model predictive control backboned by fixed-time observer and control mechanism for double-pendulum overhead cranes

description: This paper presents a method for generating an obstacle-avoiding trajectory in optimal time and addresses the control problem of double-pendulum cranes, accounting for external disturbances and system constraints. Firstly, the double pendulum crane system is demonstrated to be a flatness system, with the flat outputs corresponding to the positions of the loads. Subsequently, by analyzing and incorporating various constraints, an optimization problem is formulated to determine the reference trajectory from the initial position to the final position of the load, minimizing travel time while ensuring obstacle avoidance. To mitigate the effects of disturbances and sensor limitations, a fixed-time extended-state observer is employed to estimate the output signal velocities and the total disturbance. These estimated signals and the derivative from the Lyapunov function of the proposed Nonsingular Hierarchical Fixed-Time Sliding Mode Control are utilized to design a Lyapunov-based Model Predictive Controller, enabling the load to track the reference trajectory while minimizing the swing angle and adhering to system constraints. Furthermore, the stability of the Lyapunov-based Model Predictive Controller is established based on the stability properties of the Nonsingular Hierarchical Fixed-Time Sliding Mode Control. Finally, simulation results and comparisons demonstrate the effectiveness of the proposed methods under various conditions.
DOI: 10.6084/m9.figshare.30837026.v1
title: Bounded kinodynamic planning with Lyapunov-based model predictive control backboned by fixed-time observer and control mechanism for double-pendulum overhead cranes

description: This paper presents a method for generating an obstacle-avoiding trajectory in optimal time and addresses the control problem of double-pendulum cranes, accounting for external disturbances and system constraints. Firstly, the double pendulum crane system is demonstrated to be a flatness system, with the flat outputs corresponding to the positions of the loads. Subsequently, by analyzing and incorporating various constraints, an optimization problem is formulated to determine the reference trajectory from the initial position to the final position of the load, minimizing travel time while ensuring obstacle avoidance. To mitigate the effects of disturbances and sensor limitations, a fixed-time extended-state observer is employed to estimate the output signal velocities and the total disturbance. These estimated signals and the derivative from the Lyapunov function of the proposed Nonsingular Hierarchical Fixed-Time Sliding Mode Control are utilized to design a Lyapunov-based Model Predictive Controller, enabling the load to track the reference trajectory while minimizing the swing angle and adhering to system constraints. Furthermore, the stability of the Lyapunov-based Model Predictive Controller is established based on the stability properties of the Nonsingular Hierarchical Fixed-Time Sliding Mode Control. Finally, simulation results and comparisons demonstrate the effectiveness of the proposed methods under various conditions.
DOI: 10.7274/30790703
title: Improving Storm Surge Surrogate Modeling Through Advances in Integration of Spatial Correlation Information

description: Surrogate models (also known as emulators or metamodels) have emerged as powerful, data-driven predictive tools to support storm surge risk assessment applications. In this context, they are developed using a suite of synthetic storm simulations, leveraging existing databases created during regional flood studies. Once calibrated, these surrogate models can efficiently and accurately predict the expected storm surge for unobserved storms, and therefore can replace the original high-fidelity model (that was used to create the database) within various risk-assessment tasks. The most popular emulation approaches for this application are Gaussian Process metamodels (GPMs). The output approximated corresponds to the storm surge (maximum values or time-history evolution) for different geographic locations of interest, and the input to the features that can be used to describe each storm. The geographic locations, termed herein as nodes for simplicity, may correspond directly to the computational nodes of the underlying numerical simulation model or to some few, representative locations, typically referenced as save points (SP). Depending on the extent of the geographic domain, the number of such locations may vary from few thousands (for SP), up to more than one million (for computational nodes). Development of metamodels in this context needs to consider the spatial correlation between nodes. This thesis formally considers the use of Gaussian-Process based geointerpolation (GPI) for this objective. From a modeling perspective, the key contribution of this thesis the development and implementation (in a GPI setting) of an adaptive covariance tapering methodology to accommodate the large number of nodes described by the resultant covariance matrix. The adaptive covariance tapering yields sparse covariance matrices that accommodate GPI implementation even for datasets with large numbers of nodes. Applications of the resulting GPI is considered for both pure geo-interpolation (e.g., data imputation) and establishing storm surge predictions at unobserved nodal locations. The databases used in this thesis consist of synthetic storm simulations developed via ADCIRC, a high-performance, high-fidelity numerical simulation tool used to model storm surge, tides, and coastal circulation. Applications to the United States North Atlantic and the Gulf coasts are examined.
DOI: 10.7274/30790703.v1
title: Improving Storm Surge Surrogate Modeling Through Advances in Integration of Spatial Correlation Information

description: Surrogate models (also known as emulators or metamodels) have emerged as powerful, data-driven predictive tools to support storm surge risk assessment applications. In this context, they are developed using a suite of synthetic storm simulations, leveraging existing databases created during regional flood studies. Once calibrated, these surrogate models can efficiently and accurately predict the expected storm surge for unobserved storms, and therefore can replace the original high-fidelity model (that was used to create the database) within various risk-assessment tasks. The most popular emulation approaches for this application are Gaussian Process metamodels (GPMs). The output approximated corresponds to the storm surge (maximum values or time-history evolution) for different geographic locations of interest, and the input to the features that can be used to describe each storm. The geographic locations, termed herein as nodes for simplicity, may correspond directly to the computational nodes of the underlying numerical simulation model or to some few, representative locations, typically referenced as save points (SP). Depending on the extent of the geographic domain, the number of such locations may vary from few thousands (for SP), up to more than one million (for computational nodes). Development of metamodels in this context needs to consider the spatial correlation between nodes. This thesis formally considers the use of Gaussian-Process based geointerpolation (GPI) for this objective. From a modeling perspective, the key contribution of this thesis the development and implementation (in a GPI setting) of an adaptive covariance tapering methodology to accommodate the large number of nodes described by the resultant covariance matrix. The adaptive covariance tapering yields sparse covariance matrices that accommodate GPI implementation even for datasets with large numbers of nodes. Applications of the resulting GPI is considered for both pure geo-interpolation (e.g., data imputation) and establishing storm surge predictions at unobserved nodal locations. The databases used in this thesis consist of synthetic storm simulations developed via ADCIRC, a high-performance, high-fidelity numerical simulation tool used to model storm surge, tides, and coastal circulation. Applications to the United States North Atlantic and the Gulf coasts are examined.
DOI: 10.15468/dl.equhxn
title: Occurrence Download

description: A dataset containing 61 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophichthus melanoporus"
 ]
}

 The dataset includes 61 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041114-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.nhc9jg
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophichthus hyposagmatus"
 ]
}

 The dataset includes 12 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041113-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/hc9dhy
title: PAN-00175387 - seal lead with connecting strip

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00175387&lt;/p&gt;
description: Modified: 2025-10-29T13:33:42+01:00
DOI: 10.15468/dl.8szv3c
title: Occurrence Download

description: A dataset containing 1789423 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is Human Observation",
 "Continent is Europe",
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "DatasetKey is Butterfly distribution records for the UK from Butterfly Conservation, up to 2019",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "License is CC-BY-NC 4.0",
 "TaxonKey is Lycaenidae",
 "Year 1950-2025"
 ]
}

 The dataset includes 1789423 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041079-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.17861993
title: CORN-LCs

description: CORN-LCs comprises 4,224 corneal confocal microscopy (CCM) images with a resolution of 384×384 pixels, all captured using Heidelberg HRT-III systems. This dataset is used to generate an optimal grading model. These images were collected from 332 dry eye disease patients across six clinical centers in two countries. The image severity levels (ranging from 0 to 3) were annotated independently by two corneal specialists, each with over 15 years of experience. The grading was based on the established correlation between disease severity and Langerhans cell activation, combined with an assessment of ten key morphological parameters of Langerhans cells and the specialists' clinical expertise. The final ground truth labels were determined by consensus between the two specialists. The dataset distribution across the severity levels is as follows: Level 0 (1,064 images), Level 1 (1,797 images), Level 2 (885 images), and Level 3 (478 images).
DOI: 10.15468/dl.aa3d7g
title: Occurrence Download

description: A dataset containing 94554 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Argentina",
 "TaxonKey is Chlorostilbon lucidus"
 ]
}

 The dataset includes 94554 records from 43 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041050-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kdpjfp
title: Occurrence Download

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

 The dataset includes 22 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041115-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.m3fyw8
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.046 1.422183, 100.975716 1.416615, 100.907163 1.400048, 100.84203 1.372891, 100.781922 1.335812, 100.728319 1.289725, 100.682541 1.235765, 100.645715 1.175261, 100.618747 1.109704, 100.6023 1.040707, 100.596778 0.96997, 100.602318 0.899234, 100.618782 0.830242, 100.645763 0.764691, 100.682598 0.704195, 100.728379 0.650244, 100.781979 0.604167, 100.842078 0.567096, 100.907198 0.539945, 100.975734 0.523383, 101.046 0.5178160000000001, 101.116266 0.523383, 101.184802 0.539945, 101.249922 0.567096, 101.310021 0.604167, 101.363621 0.650244, 101.409402 0.704195, 101.446237 0.764691, 101.473218 0.830242, 101.489682 0.899234, 101.495222 0.96997, 101.4897 1.040707, 101.473253 1.109704, 101.446285 1.175261, 101.409459 1.235765, 101.363681 1.289725, 101.310078 1.335812, 101.24997 1.372891, 101.184837 1.400048, 101.116284 1.416615, 101.046 1.422183))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041117-251120083545085/datasets/export for details.
DOI: 10.15468/dl.dad7z3
title: Occurrence Download

description: A dataset containing 3763 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aurospio banyulensis",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 3763 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041116-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mh75kq
title: Occurrence Download

description: A dataset containing 104 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea aitonii",
 "Continent is Africa"
 ]
}

 The dataset includes 104 records from 17 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041118-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t4zpep
title: Occurrence Download

description: A dataset containing 34 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is Stenonemobius bicolor ponticus"
 ]
}

 The dataset includes 34 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041119-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/vdt35i
title: PAN-00118849 - coin/coin-related, geestelijk heerser, penning

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00118849&lt;/p&gt;
description: Modified: 2025-10-21T09:09:31+02:00
DOI: 10.26036/cnp0005161
title: scRNA-seq reveals spatiotemporal dynamics based on stem cell mimicking early organogenesis in human embryos

description: We sequenced and analyzed scRNA-seq of gastruloids
DOI: 10.15468/dl.ugvj8f
title: Occurrence Download

description: A dataset containing 12 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophichthus spinicauda"
 ]
}

 The dataset includes 12 records from 8 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041125-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15472/xiflks
title: Mamíferos del Huila: Listado actualizado de especies

description: Se presenta un listado actualizado de 135 especies de mamíferos registrados en el departamento del Huila. La información fue obtenida por Organizaciones ambientales del proceso de monitoreo del departamento a partir de la instalación de cámaras trampa en 320 estaciones de muestreo, distribuidas en 25 municipios, durante los años 2010 a 2025. A esto se suma la información generada mediante procesos de caracterización rápida realizados para apoyar la declaratoria de áreas protegidas regionales. Estos esfuerzos combinados han permitido consolidar un panorama más completo sobre la diversidad de mamíferos del departamento, fortalecer la gestión de la conservación y aportar información clave para la toma de decisiones en materia de planificación ambiental.
DOI: 10.13127/md/sts-geostar-2004-adcp
title: ADCP dataset (RDI WorkHorse 300 KHz @ 1 profile / hour) from INGV/GEOSTAR - SN-3 seafloor platform during ORION-GEOSTAR3 project in Southern Tyrrhenian Sea site (Marsili Basin), part of ORION network

description: The Acoustic Doppler Current Profiler measures the water velocity using the physical Doppler shift principle. The transducer generates a pulse of sound at a known frequency that travels through the water and is reflected in all directions by particulate matter (e.g., sediment, biological matter, bubbles). Some portion of the reflected energy travels back at the transducer where the processing electronics measure the change in frequency. The Doppler shift measured by the transducer reflects the velocity of the water along the axis of the acoustic beam. The ADCP operates using three transducers generating beams with different orientations relative to the water flow then the measured velocity by each ADCP transducer is the projection of the 3D velocity onto the axis of its acoustic beam.
DOI: 10.15468/dl.7s3ws5
title: Occurrence Download

description: A dataset containing 79308 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-96.8344 17.02754,-96.73526 17.02754,-96.73526 17.10939,-96.8344 17.10939,-96.8344 17.02754))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 79308 records from 193 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041054-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vu7jxd
title: Occurrence Download

description: A dataset containing 104328 species occurrences available in GBIF matching the query:
{
 "and" : [
 {
 "and" : [
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 {
 "not" : {
 "BasisOfRecord" : [
 "is one of (Fossil, Living Specimen)"
 ]
 }
 }
 ]
 },
 "TaxonKey is Catocala",
 "Country is United States of America"
 ]
}

 The dataset includes 104328 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041042-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kxkzf8
title: Occurrence Download

description: A dataset containing 147 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophichthus rex"
 ]
}

 The dataset includes 147 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041124-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s4phmp
title: Occurrence Download

description: A dataset containing 116901 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is The mammals collection (ZM) of the Muséum national d'Histoire naturelle (MNHN - Paris)"
 ]
}

 The dataset includes 116901 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041095-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wechyd
title: Occurrence Download

description: A dataset containing 82 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Brania pusilla",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 82 records from 27 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041126-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.2mqes4
title: Occurrence Download

description: A dataset containing 286 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ophichthus puncticeps"
 ]
}

 The dataset includes 286 records from 23 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041122-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.rvgf33
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{"type":"and","predicates":[{"type":"within","geometry":"POLYGON ((101.261 1.422183, 101.190716 1.416615, 101.122163 1.400048, 101.05703 1.372891, 100.996922 1.335812, 100.943319 1.289725, 100.897541 1.235765, 100.860715 1.175261, 100.833747 1.109704, 100.8173 1.040707, 100.811778 0.96997, 100.817318 0.899234, 100.833782 0.830242, 100.860763 0.764691, 100.897598 0.704195, 100.943379 0.650244, 100.996979 0.604167, 101.057078 0.567096, 101.122198 0.539945, 101.190734 0.523383, 101.261 0.5178160000000001, 101.331266 0.523383, 101.399802 0.539945, 101.464922 0.567096, 101.525021 0.604167, 101.578621 0.650244, 101.624402 0.704195, 101.661237 0.764691, 101.688218 0.830242, 101.704682 0.899234, 101.710222 0.96997, 101.7047 1.040707, 101.688253 1.109704, 101.661285 1.175261, 101.624459 1.235765, 101.578681 1.289725, 101.525078 1.335812, 101.46497 1.372891, 101.399837 1.400048, 101.331284 1.416615, 101.261 1.422183))"},{"type":"equals","key":"CLASS_KEY","value":"212","matchCase":false},{"type":"greaterThanOrEquals","key":"YEAR","value":"2015","matchCase":false},{"type":"not","predicate":{"type":"in","key":"BASIS_OF_RECORD","values":["MATERIAL_CITATION","MATERIAL_SAMPLE","PRESERVED_SPECIMEN"],"matchCase":false}},{"type":"lessThanOrEquals","key":"COORDINATE_UNCERTAINTY_IN_METERS","value":"10000","matchCase":false},{"type":"equals","key":"LICENSE","value":"CC BY 4.0","matchCase":false}]}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041123-251120083545085/datasets/export for details.
DOI: 10.15468/dl.sxkg8v
title: Occurrence Download

description: A dataset containing 2051 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Ipomoea aquatica",
 "Continent is Africa"
 ]
}

 The dataset includes 2051 records from 127 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0041127-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17026/ar/e5uvwq
title: PAN-00160146 - smooth ware jug type St. 110

description: &lt;p&gt;This find is registered at Portable Antiquities of the Netherlands with number PAN-00160146&lt;/p&gt;
description: Modified: 2025-10-21T12:18:07+02:00