cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14457/tu.the.2024.107
title: Storage location assignment problem in warehouse optimization by opensolver

description: Effective storage location assignment within warehouses is a critical determinant of operational efficiency, cost savings, and customer satisfaction. This independent study explores the intricate challenges posed by the Storage Location Assignment Problem (SLAP) and delves into the application of OpenSolver, a powerful optimization tool, to enhance distance optimization within warehouse operations.The central objective of this research is to design and evaluate innovative strategies for optimizing storage location assignments in a way that minimizes travel distances. The study will begin by conducting an extensive literature review to assess existing storage location assignment approaches and the role of optimization tools in the warehousing context. Subsequently, developing mathematical models and algorithms, leveraging OpenSolver's capabilities, to tackle SLAP.This investigation aims to address the complexity of warehouse operations by accounting for factors such as product placement, retrieval paths, order picking, and the interplay of these elements. The study will evaluate various storage location assignment algorithms in terms of key performance indicators, with a primary focus on minimizing travel distances and improving overall warehouse efficiency.In conclusion, this independent study offers a comprehensive exploration of the Storage Location Assignment Problem in warehouses, employing OpenSolver as a powerful tool for distance optimization. The findings from this research will contribute valuable insights to warehouse managers and logistics professionals, aiding them in enhancing operational efficiency and ultimately driving success in the competitive world of modern warehousing.
DOI: 10.14457/tu.the.2024.108
title: Optimizing semiconductor inventory network flow to mitigate the impact of COVID-19 disruptions: a study on substrate inventory management and loss minimization

description: The COVID-19 pandemic has severely disrupted the global supply chain, particularly impacting the semiconductor industry, which is critical to multiple sectors. In 2022, demand for semiconductors surged due to factors such as electric vehicles and remote work, causing widespread chip shortages. This situation was further aggravated by the scarcity of substrate materials, leading to a bullwhip effect and inflated inventory levels. This study addresses the surplus substrate inventory issue by optimizing the semiconductor supply chain network flow. The optimization seeks to minimize various costs, including holding inventory, opportunity, scrap, and material costs, while accounting for constraints like ongoing orders, penalties, substrate shelf life, and demand fluctuations. The research aims to explore how supply chain disruptions contribute to excessive inventory and identify strategies to minimize these losses.The literature review highlights the semiconductor industry's unprecedented challenges during the pandemic, including disruptions in supply, demand, and logistics, which exacerbated the bullwhip effect. The study also examines manufacturing strategies and planning decisions. OpenSolver was used to optimize a model to minimize total costs, beginning with the top 10 substrate items, expanding to 30 and 42 items covering 83% and 91% of total demand, respectively. The results reveal that as demand coverage increases, total costs also rise, with Scenario 1 incurring a total cost of $80,995 and Scenario 3 reaching $145,708. Holding inventory and scrap costs are significant contributors to this increase. Importantly, no penalty costs were incurred, suggesting the model successfully avoids this cost driver.In conclusion, this research provides valuable insights into mitigating the effects of COVID-19-induced supply chain disruptions on the semiconductor industry. The optimization strategies derived from this study can help create a more resilient supply chain by balancing inventory levels and minimizing costs. However, limitations of OpenSolver's computational capacity highlight the need for more advanced optimization tools for larger datasets, and future research could explore the impact of different inventory constraints.
DOI: 10.15468/dl.9gakqe
title: Occurrence Download

description: A dataset containing 23 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Occurrence evidence, Machine Observation, Material citation, Material sample)",
 "DatasetKey is iNaturalist Research-grade Observations",
 "TaxonKey is one of (Nycticebus javanicus É.Geoffroy Saint-Hilaire, 1812, Nycticebus coucang javanicus É.Geoffroy Saint-Hilaire, 1812)",
 "Year 2015-2025"
 ]
}

 The dataset includes 23 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010972-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.t5y3ax
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is South America",
 "Country is Peru",
 "TaxonKey is Notothyladaceae"
 ]
}

 The dataset includes 20 records from 9 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010973-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.34740/kaggle/dsv/10597337
title: Fatal COVID-19: Gene Data🦠🦠🦠
DOI: 10.15468/dl.xfywv6
title: Occurrence Download

description: A dataset containing 2062 species occurrences available in GBIF matching the query:
{
 "and" : [
 "OccurrenceStatus is Present",
 "TaxonKey is one of (Citellus columbianus (Ord, 1815), Spermophilus columbianus (Ord, 1815))"
 ]
}

 The dataset includes 2062 records from 48 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010974-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fmqeen
title: Occurrence Download

description: A dataset containing 166176 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Carnivora, Cervidae)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Country is Canada"
 ]
}

 The dataset includes 166176 records from 190 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010970-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.b47jy4
title: Occurrence Download

description: A dataset containing 30772973 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "HasCoordinate is true",
 "HasGeospatialIssue is false"
 ]
}

 The dataset includes 30772973 records from 2827 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0010967-250127130748423/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7ycejz
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.805187 -33.263061, 148.805187 -33.269798, 148.809678 -33.269798, 148.809678 -33.272044, 148.811924 -33.272044, 148.811924 -33.27429, 148.81417 -33.27429, 148.81417 -33.269798, 148.811924 -33.269798, 148.811924 -33.265307, 148.81417 -33.265307, 148.81417 -33.263061, 148.805187 -33.263061))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057741-240626123714530/datasets/export for details.
DOI: 10.15468/dl.qsssb6
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.337441 -33.263061, 149.337441 -33.265307, 149.350916 -33.265307, 149.350916 -33.263061, 149.337441 -33.263061))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057742-240626123714530/datasets/export for details.
DOI: 10.15468/dl.p5f69x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((149.366637 -33.263061, 149.366637 -33.265307, 149.371128 -33.265307, 149.371128 -33.263061, 149.366637 -33.263061)), ((149.371128 -33.265307, 149.371128 -33.272044, 149.373374 -33.272044, 149.373374 -33.265307, 149.371128 -33.265307)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057744-240626123714530/datasets/export for details.
DOI: 10.15468/dl.esw8n4
title: Occurrence Download

description: A dataset containing 386 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Butterflies of Phong Nha - Ke Bang National Park, Vietnam"
 ]
}

 The dataset includes 386 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057745-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.egdkjb
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.663082 -33.263061, 149.663082 -33.265307, 149.665328 -33.265307, 149.665328 -33.263061, 149.663082 -33.263061))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057746-240626123714530/datasets/export for details.
DOI: 10.34740/kaggle/dsv/2463867
title: 100k Urdu Corpus
DOI: 10.5281/zenodo.13283723
title: A combined study of thermohaline mixing and envelope overshooting with PARSEC: Calibration to NGC 6397 and M4
DOI: 10.5281/zenodo.13283724
title: A combined study of thermohaline mixing and envelope overshooting with PARSEC: Calibration to NGC 6397 and M4
DOI: 10.15468/dl.6x4zsf
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.97974 -33.263061, 149.97974 -33.265307, 149.984231 -33.265307, 149.984231 -33.263061, 149.97974 -33.263061))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057748-240626123714530/datasets/export for details.
DOI: 10.15468/dl.nfeqz8
title: Occurrence Download

description: A dataset containing 36420 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Aquila heliaca Savigny, 1809",
 "HasCoordinate is true",
 "Year is greater than or equal to 2011",
 "Year is less than or equal to 2024"
 ]
}

 The dataset includes 36420 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057747-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.w74bck
title: Occurrence Download

description: A dataset listing the 278 species recorded in GBIF matching the query:
{
 "DatasetKey" : [
 "is Butterflies of Phong Nha - Ke Bang National Park, Vietnam"
 ]
}

 The dataset's 278 records were derived from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057743-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.5xpr4a
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.367256 -33.265307, 148.373993 -33.265307, 148.373993 -33.263061, 148.367256 -33.263061, 148.367256 -33.265307)), ((148.367256 -33.265307, 148.358273 -33.265307, 148.358273 -33.269798, 148.367256 -33.269798, 148.367256 -33.265307)), ((148.373993 -33.263061, 148.376239 -33.263061, 148.376239 -33.258569, 148.373993 -33.258569, 148.373993 -33.263061)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057749-240626123714530/datasets/export for details.
DOI: 10.15468/dl.ev5k2x
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.376239 -33.265307, 148.376239 -33.272044, 148.382977 -33.272044, 148.382977 -33.269798, 148.380731 -33.269798, 148.380731 -33.265307, 148.376239 -33.265307)), ((148.382977 -33.272044, 148.382977 -33.27429, 148.39196 -33.27429, 148.39196 -33.272044, 148.382977 -33.272044)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057750-240626123714530/datasets/export for details.
DOI: 10.15468/dl.5fm4cy
title: Occurrence Download

description: A dataset containing 621 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Nepal",
 "TaxonKey is Emberiza aureola Pallas, 1773"
 ]
}

 The dataset includes 621 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057751-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.mzpxwe
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "MULTIPOLYGON (((148.526708 -33.265307, 148.528954 -33.265307, 148.528954 -33.263061, 148.526708 -33.263061, 148.526708 -33.265307)), ((148.526708 -33.265307, 148.522216 -33.265307, 148.522216 -33.269798, 148.526708 -33.269798, 148.526708 -33.265307)), ((148.528954 -33.263061, 148.531199 -33.263061, 148.531199 -33.258569, 148.528954 -33.258569, 148.528954 -33.263061)))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057752-240626123714530/datasets/export for details.
DOI: 10.5281/zenodo.13270580
title: Data for "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes"

description: Simulated data used in the paper "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes" by Daniele Zago, Bianca Maria Colosimo, and Giovanna Capizzi.

The files includes MATLAB code used to generate the simulated noisy meshes.
DOI: 10.5281/zenodo.13270581
title: Data for "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes"

description: Simulated data used in the paper "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes" by Daniele Zago, Bianca Maria Colosimo, and Giovanna Capizzi.

The files includes MATLAB code used to generate the simulated noisy meshes.
DOI: 10.5281/zenodo.13283782
title: Data for "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes"

description: Simulated data used in the paper "Statistical Process Monitoring of Isolated and Persistent Defects in Complex Geometrical Shapes" by Daniele Zago, Bianca Maria Colosimo, and Giovanna Capizzi.

The files includes MATLAB code used to generate the simulated noisy meshes.
DOI: 10.6084/m9.figshare.26526376
title: Microbial acetate metabolism in the northwest Pacific Ocean

description: Data submitted for the manuscript "Microbial metabolism and environmental controls of acetate cycling in the northwest Pacific Ocean".<br>
DOI: 10.15468/dl.v7xvrd
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.549166 -33.265307, 148.549166 -33.269798, 148.551412 -33.269798, 148.551412 -33.265307, 148.549166 -33.265307))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057753-240626123714530/datasets/export for details.
DOI: 10.15468/dl.4t4st3
title: Occurrence Download

description: A dataset containing 6 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "OccurrenceStatus is Present",
 "TaxonKey is Parashorea chinensis WangHsie"
 ]
}

 The dataset includes 6 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057754-240626123714530/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.25532692.v7
title: Microbial acetate metabolism in the northwest Pacific Ocean

description: Data submitted for the manuscript "Microbial metabolism and environmental controls of acetate cycling in the northwest Pacific Ocean".
DOI: 10.21227/bfhb-de68
title: ECMHP: ECC-based Secure Handshake Protocol for Multicasting in CCN-IoT Environment

description: Scalability, heterogeneity, energy efficiency, cost-effectiveness, robustness, interoperability, and low latency data transfer are some of the critical challenges posed by the Internet of Things in the modern era of the Internet. Content Centric Networks (CCN) and Named Data Networks (NDN) are some proposed solutions that can meet the abovementioned challenges. In-network caching, multicasting, content security, and decoupling of data from location are the significant advantages offered by the CCN. Despite the diverse benefits of CCN, it has to face some significant problems, such as how the key management and distribution are performed among the consumers and key managers efficiently, how the node-to-node communication occurs, and how to provide services to the neighboring nodes while saving resources, etc. This paper proposes an Elliptic Curve Cryptography-based secure communication protocol supporting broadcast/multicast IoT data. Push-based data generation and transfer, typical requirements of IoT devices, have been integrated with the proposed protocol. The proposed communication protocol has been compared with existing protocols regarding computation and communication overheads as well as functional and security features. The proposed protocol has been evaluated in AVISPA and NS3 simulators for security and efficiency, and it is found that the proposed protocol outperforms the existing protocols in all aspects.
DOI: 10.15468/dl.r7byuk
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((148.859086 -33.265307, 148.859086 -33.272044, 148.863578 -33.272044, 148.863578 -33.265307, 148.859086 -33.265307))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057756-240626123714530/datasets/export for details.
DOI: 10.15468/dl.64kyr8
title: Occurrence Download

description: A dataset containing 1 species occurrences available in GBIF matching the query:
{
 "Geometry" : [
 "POLYGON ((149.571004 -33.265307, 149.571004 -33.27429, 149.57325 -33.27429, 149.57325 -33.265307, 149.571004 -33.265307))"
 ]
}

 The dataset includes 1 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057758-240626123714530/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.9c8yqr
title: Occurrence Download

description: A dataset containing 21996 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Amphibia",
 "Year 1000-2024"
 ]
}

 The dataset includes 21996 records from 69 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0057759-240626123714530/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.26526401
title: Development of Fragility Curves and Assessment of Mass Irregular Structures with Fixed Base and Base Isolated Under Multiple Earthquakes

description: Structures are usually built to withstand the mainshock, aftershocks offer extra difficulties. Aftershocks frequently occur following an earthquake result in multiple earthquakes, therefore they are not isolated events. Due to damage advancement, and stiffness and strength deterioration, a damaged structure might collapse under a multiple earthquakes. Based to a probabilistic perspective, the current study investigates the effect of multiple earthquakes on the likelihood of buildings to collapse. This study’s primary objective is to determine how multiple earthquakes affect fixed- and base-isolated structures. In this context, recorded 14 single and 7 multiple earthquakes with various properties were used to examine and assess three-dimensional reinforced concreteframes with four-storey, having fixed base and isolated base. Dynamic analysis, of the three-dimensional structures are carried out in SAP2000. Fragility curves for fixed base and base isolated structures were produced using the incremental dynamic analysis approach. To find the effect of mass irregularity due to single and multiple earthquakes, mass irregularity is placed at every floor level in each structure. The results are compared in terms of floor displacements, floor accelerations, storey drift, base shear, residual displacement, and probability of collapse for fixed base and base isolated structures. The findings highlight the importance of analyzing the structures subjected to multiple earthquakes. The probability of collapse is reduced for mass irregular structures with base isolation in comparison with fixed base structures, when subjected to multiple earthquakes. The designer’s should select base isolation over the fixed base system when the building’s location may suffer multiple earthquakes more frequently.