cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.18048133
title: From Leadership to Addiction: How Does a Brand Create a Lasting Impact? a Descriptive Analytical of The Opinions of a Sample Customers of Apple, Samsung, and Huawei Companies

description: Abstract

Objective: The main objective of the study lies in identifying the impact of brand leadership in achieving brand addiction, and Apple, Samsung, and Huawei companies were chosen as the field of study.

Study Methodology and Tools: In order to achieve the objectives of the study, the researchers adopted the descriptive-analytical method to collect data accurately and in detail about the phenomenon, and then analyze it to extract results and interpretations. Accordingly, the study investigated the opinions of a sample of customers of Apple, Samsung, and Huawei companies at the level of Iraq, in line with the nature of the studied variables. The questionnaire was formulated as the main tool for data collection, and (395) questionnaires were distributed electronically through a Google form, using the five-point Likert scale, and processed and analyzed using appropriate statistical methods.

Results: The study reached a set of results, the most important of which is the existence of a partial effect of brand leadership in achieving brand addiction in the investigated companies. The study concluded with a set of recommendations related to the study variables, the most important of which is focusing on strengthening brand leadership, which enhances customer addiction to the brand and the sustainability of their relationship with it, in addition to future research directions.

Keywords: Brand Leadership, Brand Addiction, Apple, Samsung, Huawei
DOI: 10.15468/dl.3zcz4b
title: Occurrence Download

description: A dataset containing 73 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Tylototriton ziegleri"
 ]
}

 The dataset includes 73 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068660-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.25574/27229
title: Chandra X-ray Observatory ObsId 27229

description: Assembling the most massive galaxy clusters: AGN and environment in HS1549+19 at z=2.9
DOI: 10.15468/dl.j9knbj
title: Occurrence Download

description: A dataset containing 1163 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-72.26401 5.61518,-72.30493 5.60477,-72.29793 5.57421,-72.31705 5.49789,-72.34473 5.50674,-72.39584 5.57046,-72.42007 5.5632,-72.4419 5.51904,-72.4896 5.48144,-72.50612 5.43911,-72.56907 5.4022,-72.57956 5.35547,-72.62453 5.34455,-72.70061 5.27772,-72.70089 5.24129,-72.7472 5.21897,-72.77401 5.1525,-72.84308 5.12877,-72.86713 5.08964,-72.84917 5.04542,-72.85709 5.03,-72.82532 4.98937,-72.82611 4.94988,-72.73542 4.9225,-72.73666 4.905,-72.6725 4.91292,-72.61329 4.86706,-72.50855 4.84453,-72.45828 4.86473,-72.43978 4.852,-72.4187 4.8607,-72.39903 4.83855,-72.38164 4.84581,-72.40229 4.88107,-72.44447 4.90894,-72.49037 4.99091,-72.46697 5.01228,-72.43727 4.97521,-72.40203 4.97949,-72.37954 5.00614,-72.33741 5.09168,-72.36663 5.20115,-72.34172 5.21336,-72.30675 5.19539,-72.28858 5.20524,-72.28215 5.19185,-72.28683 5.26107,-72.26418 5.24851,-72.24387 5.25791,-72.26549 5.28123,-72.22829 5.28696,-72.23772 5.30136,-72.21035 5.32267,-72.22577 5.33003,-72.2253 5.37232,-72.19011 5.36335,-72.22726 5.40906,-72.21827 5.45373,-72.23863 5.48774,-72.2174 5.52207,-72.25446 5.5467,-72.24548 5.57563,-72.26401 5.61518))",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Canis familiaris",
 "Year 2019-2025"
 ]
}

 The dataset includes 1163 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068661-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.18087900
title: CLDF dataset derived from Ugarte et al.'s "NorthPeruLex - A Lexical Dataset of Small Language Families and Isolates from Northern Peru (forthcoming).

description: Cite the source of the dataset as:




Ugarte, Carlos and Blum, Frederic and Ingunza, Adriano and Gonzales, Rosa and Peña, Jaime. Forthcoming. NorthPeruLex - A Lexical Dataset of Small Language Families and Isolates from Northern Peru.
DOI: 10.13130/rd_unimi/k091mc/qsxw1o
title: Read me file.docx
DOI: 10.13130/rd_unimi/k091mc/wtpqwu
title: List of identified changed proteins.tab
DOI: 10.13130/rd_unimi/k091mc/ucmxoj
title: Read me file.txt
DOI: 10.15468/dl.32fauw
title: Occurrence Download

description: A dataset containing 1582 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((2.94501 42.65035,2.92188 42.6321,2.92283 42.60604,2.94982 42.59132,2.9937 42.59425,3.00962 42.6162,3.00592 42.63414,2.99777 42.63981,2.98545 42.64843,2.96443 42.64909,2.94501 42.65035))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Insecta"
 ]
}

 The dataset includes 1582 records from 53 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068662-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.fhsp7g
title: Occurrence Download

description: A dataset containing 50 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Urspelerpes brucei"
 ]
}

 The dataset includes 50 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068663-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.dv7zg9
title: Occurrence Download

description: A dataset containing 19980 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United States of America",
 "Geometry POLYGON((-102.07739 40.97253,-102.08716 39.9561,-102.09726 36.93058,-94.57835 36.94628,-94.58141 39.15545,-94.78741 39.30804,-95.0163 39.55219,-94.79504 39.77344,-94.98578 40.00233,-95.13837 39.92603,-95.37488 40.08625,-95.62666 40.39906,-95.70295 40.5135,-95.89608 41.5364,-96.13257 42.01946,-96.36404 42.49245,-96.36448 45.27117,-96.81569 47.57229,-97.22499 49.07399,-104.07607 49.04412,-104.0907 41.00185,-102.07739 40.97253))",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Bombus",
 "Year 1829-2021"
 ]
}

 The dataset includes 19980 records from 39 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068664-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.d7ejhc
title: Occurrence Download

description: A dataset containing 850 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Colombia",
 "DatasetKey is Global Roadkill Data: a dataset on terrestrial vertebrate mortality caused by collision with vehicles (Systematic Records)"
 ]
}

 The dataset includes 850 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0068665-251120083545085/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/yrh88v
title: Resin outpourings on conifers are inhabited by more members of Nectriaceae (Hypocreales, Sordariomycetes) than previously thought

description: This dataset contains the digitized treatments in Plazi based on the original journal article Czachura, Paweł, Janik, Paulina (2025): Resin outpourings on conifers are inhabited by more members of Nectriaceae (Hypocreales, Sordariomycetes) than previously thought. MycoKeys 113: 337-358, DOI: 10.3897/mycokeys.113.140446AbstractResin outpourings on conifers are a quite unique habitat occurring in nature. Conifer resins are composed mainly from monoterpenes, sesquiterpenes and resin acids which are recalcitrant to microbial decomposition. Moreover, resins exhibit antimicrobial properties. Despite that, they are colonised by different microorganisms including fungi. They are called resinicolous fungi. They constitute a poorly explored group of the fungal kingdom. In this study, during investigation of resinicolous fungi in Poland, seven strains were assigned to the family Nectriaceae. Phylogenetic analyses of combined ITS, LSU, rpb 2, tef 1 and tub 2 sequence data were used for molecular identification. As a result, two new species (including a new genus) and two known species were identified. Pulchrospora resinae gen. et sp. nov. and Cosmospora elegans sp. nov. were described, characterised and proposed herein. Known species such as Cosmospora viridescens and Cosmosporella pruni were isolated from resin substrate for the first time.
DOI: 10.5281/zenodo.17701249
title: The Inlets Atlas 2.0, A Database of Geomorphic Analysis Products from 13 U.S. Coastal Inlets

description: Dataset of bathymetric and geomorphic analysis products to accompany article submission of the same name to Nature Scientific Data. The gdb.zip folder contains a geodatabase of all bathymetric data, relative relief analysis results, and geomorphons analysis results as raster datasets as well as raster metadata. The other zip folders contain the results of the chronostratigraphy and/or conformal mapping analysis results.

This repository will not be updated and pertains only to the article submission. Actively updated data will be stored at the US Army Corps of Engineers Coastal and Hydraulics Laboratory (CHL) THREDDS server: https://chldata.erdc.dren.mil/thredds/catalog/inletsAtlas/catalog.html.
DOI: 10.5281/zenodo.17701250
title: The Inlets Atlas 2.0, A Database of Geomorphic Analysis Products from 13 U.S. Coastal Inlets

description: Dataset of bathymetric and geomorphic analysis products to accompany article submission of the same name to Nature Scientific Data. The gdb.zip folder contains a geodatabase of all bathymetric data, relative relief analysis results, and geomorphons analysis results as raster datasets as well as raster metadata. The other zip folders contain the results of the chronostratigraphy and/or conformal mapping analysis results.

This repository will not be updated and pertains only to the article submission. Actively updated data will be stored at the US Army Corps of Engineers Coastal and Hydraulics Laboratory (CHL) THREDDS server: https://chldata.erdc.dren.mil/thredds/catalog/inletsAtlas/catalog.html.
DOI: 10.6084/m9.figshare.30566276
title: Functional-Ordinal Canonical Correlation Analysis with Application to Data from Optical Sensors

description: We address the problem of predicting a target ordinal variable based on observable features consisting of functional profiles. This problem is crucial, especially in decision-making driven by sensor systems, when the goal is to assess an ordinal variable such as the degree of deterioration, quality level, or risk stage of a process, starting from functional data observed via sensors. We purposely introduce a novel approach called functional-ordinal Canonical Correlation Analysis (foCCA), which is based on a functional data analysis approach. FoCCA allows for dimensionality reduction of observable features while maximizing their ability to differentiate between consecutive levels of an ordinal target variable. Notably, foCCA does not require numerical optimization and is solved in closed form, ensuring computational efficiency and guaranteeing global optimality. FoCCA fully incorporates the ordinal nature of the target variable, embedding it in the Guttman space: this enables the model to capture and represent the relative dissimilarities between consecutive levels of the ordinal target, while also explaining these differences through the functional features. Extensive simulations, and a case study involving the prediction of antigen concentration levels from optical biosensor signals demonstrate the superior performance of foCCA.
DOI: 10.6084/m9.figshare.30566276.v1
title: Functional-Ordinal Canonical Correlation Analysis with Application to Data from Optical Sensors

description: We address the problem of predicting a target ordinal variable based on observable features consisting of functional profiles. This problem is crucial, especially in decision-making driven by sensor systems, when the goal is to assess an ordinal variable such as the degree of deterioration, quality level, or risk stage of a process, starting from functional data observed via sensors. We purposely introduce a novel approach called functional-ordinal Canonical Correlation Analysis (foCCA), which is based on a functional data analysis approach. FoCCA allows for dimensionality reduction of observable features while maximizing their ability to differentiate between consecutive levels of an ordinal target variable. Notably, foCCA does not require numerical optimization and is solved in closed form, ensuring computational efficiency and guaranteeing global optimality. FoCCA fully incorporates the ordinal nature of the target variable, embedding it in the Guttman space: this enables the model to capture and represent the relative dissimilarities between consecutive levels of the ordinal target, while also explaining these differences through the functional features. Extensive simulations, and a case study involving the prediction of antigen concentration levels from optical biosensor signals demonstrate the superior performance of foCCA.
DOI: 10.15468/bzyyck
title: Integrative systematics of the widespread Middle Eastern buthid scorpion, Hottentotta saulcyi (Simon, 1880), reveals a new species in Iran

description: This dataset contains the digitized treatments in Plazi based on the original journal article Amiri, Masoumeh, Prendini, Lorenzo, Hussen, Fenik Sherzad, Aliabadian, Mansour, Siahsarvie, Roohollah, Mirshamsi, Omid (2024): Integrative systematics of the widespread Middle Eastern buthid scorpion, Hottentotta saulcyi (Simon, 1880), reveals a new species in Iran. Arthropod Systematics & amp; Phylogeny 82: 323-341, DOI: http://dx.doi.org/10.3897/asp.82.e98662, URL: http://dx.doi.org/10.3897/asp.82.e98662
DOI: 10.17909/ecw3-tg97
title: prova
DOI: 10.15468/bq4k7t
title: Revision of the Chinese endemic genus Megadrypta Sciaky & Anichtchenko, 2020 (Coleoptera, Carabidae, Dryptini), with description of a new species

description: This dataset contains the digitized treatments in Plazi based on the original journal article Chen, Jia-Heng, Shi, Hong-Liang, Liang, Hong-Bin (2025): Revision of the Chinese endemic genus Megadrypta Sciaky & Anichtchenko, 2020 (Coleoptera, Carabidae, Dryptini), with description of a new species. ZooKeys 1226: 183-193, DOI: 10.3897/zookeys.1226.142678AbstractThe species of the genus Megadrypta Sciaky & Anichtchenko, 2020 are reviewed. A new species M. maozhoui sp. nov. is described from Sichuan and Yunnan provinces, China (type locality: Tiantaishan, Qionglai City, Sichuan). New provincial records of M. mirabilis Sciaky & Anichtchenko, 2020 are reported as well. A key of the genus Megadrypta is provided.
DOI: 10.5281/zenodo.18045661
title: Multi-Platform Cross-Validation of Interaction Effect of Drift-Aware Quantum Error Correction

description: Version 2.0 – Multi-Platform Cross-Validation Package

This dataset comprises 284 hardware executions across four quantum computing platforms and two qubit technologies (superconducting and trapped-ion). It provides comprehensive cross-platform validation of the drift-aware quantum error correction (QEC) interaction effect.

Key Results by Platform





IBM Torino (133 qubits): N=69 pairs, interaction r=0.71, P < 10⁻¹¹




IBM Fez (156 qubits): 100% logical error rate (LER) improvement, 53.8% depth reduction




IQM Emerald (54 qubits): N=80 runs, p=0.0485 (statistically significant)




IonQ Forte-1 (36 qubits): d=18 repetition code (largest hardware distance achieved)




Rigetti Ankaa-3 (82 qubits): 8 conditions tested at d=5 and d=9



Contents





Multi-platform validation data (JSON format)




Quantum task identifiers (IBM job IDs, Amazon Braket ARNs)




Statistical analysis results




Comprehensive validation report



For full documentation, see MULTI_PLATFORM_CROSS_VALIDATION_README.md.
description: Version 2.0 adds comprehensive multi-platform cross-validation data from IQM Emerald, IonQ Forte-1, and Rigetti Ankaa-3, in addition to the original IBM Quantum data.
DOI: 10.5281/zenodo.18087905
title: Multi-Platform Cross-Validation of Interaction Effect of Drift-Aware Quantum Error Correction

description: Version 2.0 – Multi-Platform Cross-Validation Package

This dataset comprises 284 hardware executions across four quantum computing platforms and two qubit technologies (superconducting and trapped-ion). It provides comprehensive cross-platform validation of the drift-aware quantum error correction (QEC) interaction effect.

Key Results by Platform





IBM Torino (133 qubits): N=69 pairs, interaction r=0.71, P < 10⁻¹¹




IBM Fez (156 qubits): 100% logical error rate (LER) improvement, 53.8% depth reduction




IQM Emerald (54 qubits): N=80 runs, p=0.0485 (statistically significant)




IonQ Forte-1 (36 qubits): d=18 repetition code (largest hardware distance achieved)




Rigetti Ankaa-3 (82 qubits): 8 conditions tested at d=5 and d=9



Contents





Multi-platform validation data (JSON format)




Quantum task identifiers (IBM job IDs, Amazon Braket ARNs)




Statistical analysis results




Comprehensive validation report



For full documentation, see MULTI_PLATFORM_CROSS_VALIDATION_README.md.
description: Version 2.0 adds comprehensive multi-platform cross-validation data from IQM Emerald, IonQ Forte-1, and Rigetti Ankaa-3, in addition to the original IBM Quantum data.
DOI: 10.5281/zenodo.18086693
title: Dataset for quantifying carbon credits on olive farms in Estepa (Spain)

description: This database belongs to the work entitled  "Carbon farming in Mediterranean olive groves: potential for carbon credits and policy implications" of Domouso, P., Pareja-Sánchez, E., Lechuga-Puña, J., García-Moreno, A., Ochoa-Esteban, V. and García-Ruiz., R in Journal of Environmental Management. 

The data contained in this document were obtained mainly in the context of the C-Olivar Project. Additional data sourced from different experiments conducted by the AgroecoliveLab team at the University of Jaen. 

The amount of litterfall by m2 and year and its carbon and nitrogen content is from SUSTAINOLIVE Project (raw data unpublished), used in Domouso, Calero et al. (2024; https://doi.org/10.1016/j.agee.2024.109096) and Torrús-Castillo et al. (2023, https://doi.org/10.1016/j.agee.2023.108707). The amount of aboveground biomass of cover crop and its carbon and nitrogen content come from  farms in Estepa sampled within the SUSTAINOLIVE Project and published in Torrús-Castillo et al. (2022; https://doi.org/10.3389/fenvs.2022.868410). The amount of pruning residues, the proportion of light pruning and its content in carbon and nitrogen comes from farms of Estepa samples in the SUSTAINOLIVE Project and reported in Torrús-Castillo et al. (2023) and Domouso, Calero et al. (2024). Remaining data was calculated from public statistics.The dataset was elaborated in Excel Microsoft Office Profesional Plus 2016.
DOI: 10.5281/zenodo.18086692
title: Dataset for quantifying carbon credits on olive farms in Estepa (Spain)

description: This database belongs to the work entitled  "Carbon farming in Mediterranean olive groves: potential for carbon credits and policy implications" of Domouso, P., Pareja-Sánchez, E., Lechuga-Puña, J., García-Moreno, A., Ochoa-Esteban, V. and García-Ruiz., R in Journal of Environmental Management. 

The data contained in this document were obtained mainly in the context of the C-Olivar Project. Additional data sourced from different experiments conducted by the AgroecoliveLab team at the University of Jaen. 

The amount of litterfall by m2 and year and its carbon and nitrogen content is from SUSTAINOLIVE Project (raw data unpublished), used in Domouso, Calero et al. (2024; https://doi.org/10.1016/j.agee.2024.109096) and Torrús-Castillo et al. (2023, https://doi.org/10.1016/j.agee.2023.108707). The amount of aboveground biomass of cover crop and its carbon and nitrogen content come from  farms in Estepa sampled within the SUSTAINOLIVE Project and published in Torrús-Castillo et al. (2022; https://doi.org/10.3389/fenvs.2022.868410). The amount of pruning residues, the proportion of light pruning and its content in carbon and nitrogen comes from farms of Estepa samples in the SUSTAINOLIVE Project and reported in Torrús-Castillo et al. (2023) and Domouso, Calero et al. (2024). Remaining data was calculated from public statistics.The dataset was elaborated in Excel Microsoft Office Profesional Plus 2016.
DOI: 10.34808/4mw2-f965
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 561 mA. Sample 71, run #2.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 561 mA.  Sample 71. Experiment run #2.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.
DOI: 10.34808/j204-v713
title: Thermographic imaging of electrochemical double layer capacitors during cycling charging - discharging 0 - 2,7 V at 561 mA. Sample 71, run #1.

description: Dataset contains thermal images of prototype electrochemical double layer capacitor taken during cyclic charging - discharging. The sample was charged to 2,7 V and discharged to 10 mV by constant current 561 mA.  Sample 71, experiment run #1.The images were taken with thermographic camera VigoCAM V50. The sample was covered by black graphite paint to ensure uniform surface emission. For sample charging and discharging the ATLAS 1361 MPG&T was used.The sample is in a form of triplex envelope (6 cm x 7 cm) with active structure (2,5 cm x 4 cm) inside and electrodes contacts at one of envelope edge.The ASCII text data file consists of images acquired within a fixed period of measurement, T = 60 sec. The recorded image is a matrix containing 388 x 288 temperature data. Each image is preceded with header with image number, date and time of acquisition.