cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.29483738.v4
title: Supplementary material - Toward Effective Educational Supervision in Yemen-A Hybrid Fuzzy Delphi and Clustering Analysis of Technical Barriers

description: The file includes all extended data and processing results related to the study "Toward Effective Educational Supervision in Yemen: A Hybrid Fuzzy Delphi and Clustering Analysis of Technical Barriers." This file integrates the application of the Fuzzy Delphi method to assess the consensus and suitability of the items, validated by 16 experienced educational experts. It also contains the collected and processed data from a quantitative survey targeting 370 teachers, along with the Fuzzy Set Theory processes for data aggregation.Additionally, it illustrates the K-means clustering results for segmenting the barriers based on their impacts. All this data is merged into a single Excel-based tool. This source also includes the values underlying the results reported, as well as the data used to construct tables and figures in all analysis and discussion sections.This supplementary resource provides detailed support for replicating the study’s methods and results.
DOI: 10.6084/m9.figshare.29483738.v3
title: Supplementary material - Toward Effective Educational Supervision in Yemen-A Hybrid Fuzzy Delphi and Clustering Analysis of Technical Barriers

description: The file includes all extended data and processing results related to the study "Toward Effective Educational Supervision in Yemen: A Hybrid Fuzzy Delphi and Clustering Analysis of Technical Barriers." This file integrates the application of the Fuzzy Delphi method to assess the consensus and suitability of the items, validated by 16 experienced educational experts. It also contains the collected and processed data from a quantitative survey targeting 370 teachers, along with the Fuzzy Set Theory processes for data aggregation.Additionally, it illustrates the K-means clustering results for segmenting the barriers based on their impacts. All this data is merged into a single Excel-based tool. This source also includes the values underlying the results reported, as well as the data used to construct tables and figures in all analysis and discussion sections.This supplementary resource provides detailed support for replicating the study’s methods and results.
DOI: 10.6084/m9.figshare.28224965
title: Sanger sequencing of region of VGSC gene

description: The scf files from sanger sequencing of an amplified region of the VGSC gene covering the region with potential L1014F mutation. The files are for 96 samples from bruchus beetles collected in Ireland.
DOI: 10.6084/m9.figshare.28224965.v1
title: Sanger sequencing of region of VGSC gene

description: The scf files from sanger sequencing of an amplified region of the VGSC gene covering the region with potential L1014F mutation. The files are for 96 samples from bruchus beetles collected in Ireland.
DOI: 10.6084/m9.figshare.29473593
title: High-Dimensional Covariance Regression with Application to Co-Expression QTL Detection

description: While covariance matrices have been widely studied in many scientific fields, relatively limited progress has been made on estimating conditional covariances that permits a large covariance matrix to vary with high-dimensional subject-level covariates. In this article, we present a new sparse covariance regression framework that models the covariance matrix as a function of subject-level covariates. In the context of co-expression quantitative trait locus (QTL) studies, our method can be used to determine if and how gene co-expressions vary with genetic variations. To accommodate high-dimensional responses and covariates, we stipulate a combined sparsity structure that encourages covariates with nonzero effects and edges that are modulated by these covariates to be simultaneously sparse. We approach parameter estimation with a blockwise coordinate descent algorithm, and investigate the l1 and l2 convergence rate of the estimated parameters. In addition, we propose a computationally efficient debiased inference procedure for uncertainty quantification. The efficacy of the proposed method is demonstrated through numerical experiments and an application to a gene co-expression network study with brain cancer patients. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29473593.v2
title: High-Dimensional Covariance Regression with Application to Co-Expression QTL Detection

description: While covariance matrices have been widely studied in many scientific fields, relatively limited progress has been made on estimating conditional covariances that permits a large covariance matrix to vary with high-dimensional subject-level covariates. In this article, we present a new sparse covariance regression framework that models the covariance matrix as a function of subject-level covariates. In the context of co-expression quantitative trait locus (QTL) studies, our method can be used to determine if and how gene co-expressions vary with genetic variations. To accommodate high-dimensional responses and covariates, we stipulate a combined sparsity structure that encourages covariates with nonzero effects and edges that are modulated by these covariates to be simultaneously sparse. We approach parameter estimation with a blockwise coordinate descent algorithm, and investigate the l1 and l2 convergence rate of the estimated parameters. In addition, we propose a computationally efficient debiased inference procedure for uncertainty quantification. The efficacy of the proposed method is demonstrated through numerical experiments and an application to a gene co-expression network study with brain cancer patients. Supplementary materials for this article are available online, including a standardized description of the materials available for reproducing the work.
DOI: 10.6084/m9.figshare.29473593.v1
title: High-dimensional covariance regression with application to co-expression QTL detection

description: While covariance matrices have been widely studied in many scientific fields, relatively limited progress has been made on estimating conditional covariances that permits a large covariance matrix to vary with high-dimensional subject-level covariates. In this paper, we present a new sparse covariance regression framework that models the covariance matrix as a function of subject-level covariates. In the context of co-expression quantitative trait locus (QTL) studies, our method can be used to determine if and how gene co-expressions vary with genetic variations. To accommodate high-dimensional responses and covariates, we stipulate a combined sparsity structure that encourages covariates with non-zero effects and edges that are modulated by these covariates to be simultaneously sparse. We approach parameter estimation with a blockwise coordinate descent algorithm, and investigate the l1 and l2 convergence rate of the estimated parameters. In addition, we propose a computationally efficient debiased inference procedure for uncertainty quantification. The efficacy of the proposed method is demonstrated through numerical experiments and an application to a gene co-expression network study with brain cancer patients.
DOI: 10.17639/nott.7595
title: Adaptive Laser-Induced Phased Arrays for Strategic 3D Imaging of Defects on Arbitrary Non-Flat Surfaces

description: The data used in the LIPA paper and can be shared with public.
DOI: 10.34894/nlqtnc
title: Replication archive Bhaskarabhatla, Cabral, Hegde & Peeters (2021) Management Science

description: &lt;p&gt;This record contains the replication archive for the paper "Are lnventors or Firms the Engines of Innovation?" by Ajay Bhaskarabhatla, Luis Cabral, Deepak Hegde and Thomas Peeters, which appeared in Management Science in 2021. &lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;Please read the Readme file which explains the empirical procedures and datasets. The dataset and do-files allow to replicate the results reported in the linked publication. The readme file exactly explains the correspondence between the results tables in the paper and the calculated results. Note that bootstrapped results may not replicate exactly because of random resampling.&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;When using these files for research, the authors ask that you cite the corresponding paper as published in Management Science.&lt;/p&gt;
description: This entry is a twenty-five-file data package totaling 2.7 GB, containing files in .pdf, .dta, .do and .m formats.If you use this dataset, please cite: Peeters, Thomas; Bhaskarabhatla, Ajay; Hegde, Deepak; Cabral, Luís (2021). Replication archive Bhaskarabhatla, Cabral, Hegde & Peeters (2021) Management Science. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.16692412
DOI: 10.15468/dl.ha5jky
title: Occurrence Download

description: A dataset containing 3468 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FSFN: Forest Soil Fauna Network: Syrphidae, Flanders Belgium"
 ]
}

 The dataset includes 3468 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028708-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.qx7s9g
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Indigofera tinctoria",
 "Country is Antigua and Barbuda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028709-250811113504898/datasets/export for details.
DOI: 10.15468/dl.yhuhtw
title: Occurrence Download

description: A dataset containing 20 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Genlisea angolensis"
 ]
}

 The dataset includes 20 records from 7 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028712-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.8k22pr
title: Occurrence Download

description: A dataset containing 10 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Indigofera tinctoria",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 10 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028710-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.kbmg3t
title: Occurrence Download

description: A dataset containing 5600 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is FSFN: Forest Soil Fauna Network: Vegetation, Flanders Belgium"
 ]
}

 The dataset includes 5600 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028711-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.6084/m9.figshare.29959580
title: Chronology of Prehistory to Medieval Periods in Hungary

description: This dataset consists of three components: a CSV file containing chronological periods from the Neolithic to the Hungarian Conquest, a Python script (pandas + matplotlib) used to generate the timeline visualization and a high-resolution PNG of the final figure.<br>The chronology spans from the Neolithic (ca. 6000 BC) through the Iron Age, Roman, Migration Period and into the early Medieval Hungarian Conquest (10th century AD).<br>This item was created as part of a broader project on the cultural history of Hungary, serving as a general introduction to prehistoric and early historic periods in the Carpathian Basin.
DOI: 10.6084/m9.figshare.29959580.v1
title: Chronology of Prehistory to Medieval Periods in Hungary

description: This dataset consists of three components: a CSV file containing chronological periods from the Neolithic to the Hungarian Conquest, a Python script (pandas + matplotlib) used to generate the timeline visualization and a high-resolution PNG of the final figure.<br>The chronology spans from the Neolithic (ca. 6000 BC) through the Iron Age, Roman, Migration Period and into the early Medieval Hungarian Conquest (10th century AD).<br>This item was created as part of a broader project on the cultural history of Hungary, serving as a general introduction to prehistoric and early historic periods in the Carpathian Basin.
DOI: 10.5517/ccdc.csd.cc2k33c5
title: CCDC 2356476: Experimental Crystal Structure Determination

description: Related Article: Melyssa L. Grieve, Patrick R. W. J. Davey, Paul V. Bernhardt, Craig M. Forsyth, Brett M. Paterson|2024|Inorg.Chem.Front.|11|7307|doi:10.1039/D4QI01338G
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2kkz15
title: CCDC 2370757: Experimental Crystal Structure Determination

description: Related Article: Xiaokang Wang, Hongyan Liu, Meng Sun, Fei Gao, Xueying Feng, Mingming Xu, Hui Chen, Kun Yao, Weidong Fan, Daofeng Sun|2024|Inorg.Chem.|63|16605|doi:10.1021/acs.inorgchem.4c03202
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.29959646
title: Supplements revised_RH-00414-2025.docx

description: Arrhythmias in calcium transients are easy to detect by human perception. However, quantifying these arrhythmias in a computer-readable manner remains challenging. To address this, we developed Arrhythpy, an automated tool that measures arrhythmias in iPSC-derived cardiomyocytes by analyzing Ca2+ transients. Unlike other tools, Arrhythpy directly evaluates arrhythmia levels. It effectively monitors arrhythmias in healthy and diseased iPSC-CMs, including dilated cardiomyopathy and Takotsubo Syndrome. Arrhythpy's flexible framework suits varied cell types and measurement techniques.
DOI: 10.6084/m9.figshare.29959646.v1
title: Supplements revised_RH-00414-2025.docx

description: Arrhythmias in calcium transients are easy to detect by human perception. However, quantifying these arrhythmias in a computer-readable manner remains challenging. To address this, we developed Arrhythpy, an automated tool that measures arrhythmias in iPSC-derived cardiomyocytes by analyzing Ca2+ transients. Unlike other tools, Arrhythpy directly evaluates arrhythmia levels. It effectively monitors arrhythmias in healthy and diseased iPSC-CMs, including dilated cardiomyopathy and Takotsubo Syndrome. Arrhythpy's flexible framework suits varied cell types and measurement techniques.
DOI: 10.5517/ccdc.csd.cc2m66tw
title: CCDC 2419048: Experimental Crystal Structure Determination

description: Related Article: zhiyuan li|2025|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.34894/4cobof
title: Data: Empirical Evidence on the Ownership and Liquidity of Real Estate Tokens

description: &lt;p&gt;Empirical studies on the tokenization of real asset markets are necessary to better understand the potential and limitations of this radically new organization of financial markets. We examine the financial economic consequences of the tokenization of 58 residential rental properties in the United States, many of them located in Detroit. Consistent with the goal of tokenization, we find fragmentation as the  median residential property has 254 owners. Investors with more than USD 5,000 invested in real estate tokens diversify their real estate ownership across properties within and across cities. Property ownership changes on average about once per year, and significantly more for properties available on decentralized exchanges. We document that the prices of real estate tokens move in line with the house price index, suggesting that investing in real estate tokens gives economic exposure to residential house prices.  &lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;&lt;br&gt;&lt;/p&gt;
&lt;p&gt;This dataset contains the source data for the analyses carried out in the article. It contains blockchain data on the number of owners per residential property token, the number of trades per residential property token, and the prices of token trades on decentralized exchanges.&lt;/p&gt;
description: This entry is a four-file data package totaling 3.9 MB, containing files in .pdf and .ods formats.If you use this dataset, please cite: Swinkels, Laurens (2022). Data: Empirical Evidence on the Ownership and Liquidity of Real Estate Tokens. Erasmus University Rotterdam (EUR). Dataset. https://doi.org/10.25397/eur.21666227
DOI: 10.15468/dl.e57pme
title: Occurrence Download

description: A dataset containing 268 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is Austria",
 "HasCoordinate is true"
 ]
}

 The dataset includes 268 records from 10 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028714-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.pe4m3d
title: Occurrence Download

description: A dataset containing 156 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Chile",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present",
 "TaxonKey is Descurainia"
 ]
}

 The dataset includes 156 records from 19 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028713-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.hvhwnp
title: Occurrence Download

description: A dataset containing 1269 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-75.654 5.563,-75.578 5.563,-75.578 5.64,-75.654 5.64,-75.654 5.563))",
 "OccurrenceStatus is Present",
 "TaxonKey is Animalia"
 ]
}

 The dataset includes 1269 records from 12 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028715-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.7rnt8y
title: Occurrence Download

description: A dataset containing 7319 species occurrences available in GBIF matching the query:
{
 "DatasetKey" : [
 "is Fish damage at pump stations"
 ]
}

 The dataset includes 7319 records from 1 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028718-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.6mvsbu
title: Occurrence Download

description: A dataset containing 43484 species occurrences available in GBIF matching the query:
{
 "and" : [
 "HasCoordinate is true",
 "TaxonKey is Oloptum miliaceum"
 ]
}

 The dataset includes 43484 records from 378 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028717-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.wzv7av
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is Bolivia (Plurinational State of)",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028722-250811113504898/datasets/export for details.
DOI: 10.15468/dl.f9m9zk
title: Occurrence Download

description: A dataset containing 84 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Salvelinus fontinalis",
 "Country is Belgium",
 "HasCoordinate is true"
 ]
}

 The dataset includes 84 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028721-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.p2t8ka
title: Occurrence Download

description: A dataset containing 2959 species occurrences available in GBIF matching the query:
{
 "and" : [
 "BasisOfRecord is one of (Human Observation, Specimen)",
 "OccurrenceStatus is Present",
 "TaxonKey is Cedrus libani"
 ]
}

 The dataset includes 2959 records from 315 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028725-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.vwgsqu
title: Occurrence Download

description: A dataset containing 4 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Corydoras oxyrhynchus)",
 "BasisOfRecord is one of (Specimen, Literature Occurrence, Human Observation, Observation)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "Year is greater than or equal to 1991",
 "Year is less than or equal to 2025"
 ]
}

 The dataset includes 4 records from 2 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028720-250811113504898/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.ndx3ph
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sesbania sericea",
 "Country is Antigua and Barbuda",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028726-250811113504898/datasets/export for details.
DOI: 10.15468/dl.quhmfw
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Sesbania sericea",
 "Country is Cuba",
 "HasCoordinate is true"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0028727-250811113504898/datasets/export for details.