cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.13789390
title: Replication data for: Stations of the Publicum Portorium Illyrici are a Strong Predictor of the Mithraic Presence in the Danubian Provinces: Geographical Analysis of the Distribution of the Roman Cult of Mithras

description: This repository serves as supplementary material for the article "Stations of the Publicum Portorium Illyrici are a Strong Predictor of the Mithraic Presence in the Danubian Provinces: Geographical Analysis of the Distribution of the Roman Cult of Mithras". This work was supported by the European Regional Development Fund project “Beyond Security: Role of Conflict in Resilience-Building” (reg. no.: CZ.02.01.01/00/22_008/0004595). The repository contains the following data:



Dataset for the evidence of the Roman cult of Mithras as collected by Ales Chalupa for the Roman provinces of Raetia, Noricum, Dalmatia, Regio X, Dalmatia, Pannonia, Moesia, Thracia. File: Mithras_AC.geojson

Geocoded Latin inscriptions collected from the LIST dataset (Vojtěch Kaše, Petra Heřmánková, & Adéla Sobotková. (2024). LIST (v1.2) [Data set]. Zenodo. https://doi.org/10.5281/zenodo.10473706) mentioning the deities Mithras, Minerva, Jupiter, Jupiter Dolichenus, Asclepius, Apollo, Mercury, Silvanus, Isis, Hercules in a csv format. Filename format: ListdeitynameWKTv1_2.csv.

Dictionary of noun forms for filtering deities Mithras, Minerva, Jupiter, Jupiter Dolichenus, Asclepius, Apollo, Mercury, Silvanus, Isis, Hercules in Latin inscriptions. File: deities_decline.csv

Spatial proximity analysis measurements. WEST_GEO_DIST(km) lists distances from Portorium West stations (N=11) to their nearest cult proxy in kilometers in geographical space; WEST_NET_DIST(m) lists distances from Portorium West stations (N=11) to their nearest cult proxy in meters across the transportation network of Roman roads; EAST_GEO_DIST(km) and EAST_NET_DIST(m) follow the same rationale for stations in the Portorium East group (N=16); NORICUM_DIST_NET_30(m) lists distances from Roman settlements in the province Noricum (and in the distance of 30 kilometers beyond the borders of Noricum) to their nearest cult proxy and portorium stations across the transportation network of Roman roads in meters (N=53). File: Distances.xlsx

Filtered Mithras_AC dataset with additional evidence from provinces neighboring Noricum for the purposes of correlation analysis. File: Mithras_AC_Noricum_neighbors.geojson

Results of Spearman correlation analysis for NORICUM_DIST_NET_30(m). File: NORICUM_RES_NET_30.csv

Geocoded Stations of the Publicum Portorium Illyrici. File: Portorium stations.csv

Portorium stations divided by administrative segments and attributed with periods based on Sarkisjan's dissertation. Files: Portorium_West_period.csv; Portorium_East_period.csv

Portorium members identified by inscriptions based on Sarkisjan's dissertation. File: Portorium_members.csv

The closest Mithraic evidence from the Mithras_AC to Portorium West and East stations with a chronological description. Files: mithras_ac_west_closest_period.csv; mithras_ac_east_closest_period.csv
DOI: 10.15468/dl.gqvu9m
title: Occurrence Download

description: A dataset containing 120 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Geometry POLYGON((-11.48382 12.67196,-11.46475 12.52016,-11.41786 12.52811,-11.39958 12.65209,-11.48382 12.67196))",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 120 records from 6 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026781-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s3ab92
title: Occurrence Download

description: A dataset containing 146 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Malawi",
 "Geometry POLYGON((33.97917 -14.45763,33.8571 -14.39338,33.72861 -14.41908,33.62581 -14.31628,33.57441 -14.14281,33.43949 -14.09784,33.28529 -14.02716,33.28529 -14.14281,33.34954 -14.22633,33.40736 -14.30986,33.46519 -14.40623,33.54871 -14.4512,33.62581 -14.53473,33.68363 -14.61182,33.73503 -14.50903,33.8314 -14.5283,33.97917 -14.45763))",
 "IucnRedListCategory is one of (CR, EN, VU, NT)",
 "OccurrenceStatus is Present",
 "Year 2012-2024"
 ]
}

 The dataset includes 146 records from 5 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026782-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.5281/zenodo.13828805
title: Replication package for paper: Insights on the Use of Software Design Principles in Machine Learning Pipelines

description: This is the replication package of the paper "Insights on the Use of Software Design Principles in Machine Learning Pipelines".

This replication package contains two files:



Data extraction.xlsx: file containing the details of the extracted data for each single ML project. 

Source Code and Metadata.zip: zip file including the source code local copy analyzed and the repository metadata (.json) provided by GitHub API for each ML project .repository 


Reference: [1] Lidia López, Cristina Gómez, and Claudia Ayala. Insights on the Use of Software Design Principles in Machine Learning Pipelines. Accepted in the 2024 edition of the International Conference on Product-Focused Software Process Improvement (PROFES 2024).

Note: The licence is applicable to the excel file. "Source Code and Metadata.zip" file contains source code repositories downloaded from GitHub, the license for each repository is defined in the corresponding GitHub repository by their authors.
DOI: 10.5281/zenodo.13828806
title: Replication package for paper: Insights on the Use of Software Design Principles in Machine Learning Pipelines

description: This is the replication package of the paper "Insights on the Use of Software Design Principles in Machine Learning Pipelines".

This replication package contains two files:



Data extraction.xlsx: file containing the details of the extracted data for each single ML project. 

Source Code and Metadata.zip: zip file including the source code local copy analyzed and the repository metadata (.json) provided by GitHub API for each ML project .repository 


Reference: [1] Lidia López, Cristina Gómez, and Claudia Ayala. Insights on the Use of Software Design Principles in Machine Learning Pipelines. Accepted in the 2024 edition of the International Conference on Product-Focused Software Process Improvement (PROFES 2024).

Note: The licence is applicable to the excel file. "Source Code and Metadata.zip" file contains source code repositories downloaded from GitHub, the license for each repository is defined in the corresponding GitHub repository by their authors.
DOI: 10.25345/c55t3gb55
title: MassIVE MSV000095928 - Protective Effects of FXI Inhibition by Abelacimab in a Baboon Model of live Staphylococcus aureus Sepsis
title: Sepsis remains a major clinical challenge characterized by dysregulated immune response, coagulation abnormalities, and multi-organ failure, leading to high morbidity and mortality. This study investigates the therapeutic potential of Abelacimab, a novel monoclonal antibody targeting the plasma zymogen coagulation fFactor XI/XIa (FXI/XIa), in a baboon model of live Staphylococcus aureus sepsis. Healthy Papio anubis baboons were randomly assigned to either a control or a treatment group receiving Abelacimab. Both groups (n=6, each) were intravenously infused with a LD50 dose of live S. aureus. The treatment group was administered Abelacimab, 30 minutes after bacterial infusion. Hematologic, coagulation, inflammatory, and organ function parameters were monitored for 7 days or until the animals exhibited signs of irreversible organ failure. Proteomic analysis was conducted to elucidate the underlying mechanisms by which Abelacimab offered protection. All six Abelacimab-treated baboons survived to the 7-day endpoint, while three out of six untreated controls succumbed to sepsis within 102 hours. Abelacimab significantly attenuated sepsis-induced consumptive coagulopathy, as evidenced by coagulation and fibrinolysis markers. Treated animals showed decreased levels of pro-inflammatory cytokines, reduced neutrophil activation, and preservation of endothelial integrity, leading to reduced organ damage. Proteomic analysis revealed that Abelacimab modulated pathways related to coagulation, inflammation, and tissue injury, contributing to improved survival outcomes. We found that FXI/XIa inhibition by Abelacimab offers significant protection in a model of live S. aureus sepsis by attenuating activation of coagulation factors, reducing inflammation, and preventing organ failure. These findings suggest that targeting FXI may be a promising therapeutic strategy for managing sepsis, addressing multiple facets of its complex pathophysiology.
DOI: 10.15468/dl.ts8zg8
title: Occurrence Download

description: A dataset containing 465 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Brycinus kingsleyae (Günther, 1896)"
 ]
}

 The dataset includes 465 records from 21 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026783-240906103802322/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.26791894
title: Quasi Maximum Likelihood Estimation for Large-Dimensional Matrix Factor Models

description: In this study, we introduce a novel approach, called the quasi maximum likelihood estimation (Q-MLE), for estimating large-dimensional matrix factor models. In contrast to the principal component analysis based approach, Q-MLE considers the heteroscedasticity of the idiosyncratic error term, the heteroscedasticity of which is simultaneously estimated with other parameters. Interestingly, under the homoscedasticity assumption of the idiosyncratic error, the Q-MLE estimator encompassed the projected estimator (PE) as a special case. We provide the convergence rates and asymptotic distributions of the Q-MLE estimators under mild conditions. Extensive numerical experiments demonstrate that the Q-MLE method performs better, especially when heteroscedasticity exists. Furthermore, two real examples in finance and macroeconomics reveal factor patterns across rows and columns, which coincide with financial, economic, or geographical interpretations.
DOI: 10.6084/m9.figshare.26791894.v1
title: Quasi maximum likelihood estimation for large-dimensional matrix factor models

description: In this study, we introduce a novel approach, called the quasi maximum likelihood estimation (Q-MLE), for estimating large-dimensional matrix factor models. In contrast to the principal component analysis based approach, Q-MLE considers the heteroskedasticity of the idiosyncratic error term, the heteroskedasticity of which is simultaneously estimated with other parameters. Interestingly, under the homoskedasticity assumption of the idiosyncratic error, the Q-MLE estimator encompassed the projected estimator (PE) as a special case. We provide the convergence rates and asymptotic distributions of the Q-MLE estimators under mild conditions. Extensive numerical experiments demonstrate that the Q-MLE method performs better, especially when heteroskedasticity exists. Furthermore, two real examples in finance and macroeconomics reveal factor patterns across rows and columns, which coincide with financial, economic, or geographical interpretations.
DOI: 10.6084/m9.figshare.22093860
title: Qualifications, professional roles and service practices of nurses, occupational therapists and speech-language pathologists in the management of adults with oropharyngeal dysphagia: a Nordic survey

description: To identify the qualifications, professional roles and service practices of nurses, occupational therapists (OTs) and speech-language pathologists (SLPs) in the management of adults with oropharyngeal dysphagia (OD) in the Nordic countries. A web-based survey was developed that consisted of 50 questions on respondent demographics, education, experience, roles and service practices provided for adults with OD. The survey was distributed to practicing nurses, OTs, and SLPs in five Nordic countries via professional associations, social media, online networks and snowballing. Data from 396 nurses, OTs and SLPs whom provided services for adults with OD revealed that the majority of respondents worked in acute care and inpatient rehabilitation facilities. Most respondents had minimal undergraduate education and practical clinical training in OD. Notable variances in roles and service practices in OD between professions and countries were found. OTs were the primary service provider for OD management in Denmark, while SLPs had this role in the other Nordic countries. Nurses were mainly involved in screening and some compensatory treatments in most Nordic countries. Limited use of evidence-based screening, non-instrumental or instrumental clinical assessments and rehabilitative therapeutic methods was evident. Study results highlight challenges in education and training of professionals responsible for the management of adults with OD in the Nordic countries. Increased use of evidence-based assessment and exercise-based treatments to improve swallowing are warranted. Adherence to European and international clinical practice guidelines for the management of adults with OD is recommended.
DOI: 10.6084/m9.figshare.22093860.v1
title: Qualifications, professional roles and service practices of nurses, occupational therapists and speech-language pathologists in the management of adults with oropharyngeal dysphagia: a Nordic survey

description: To identify the qualifications, professional roles and service practices of nurses, occupational therapists (OTs) and speech-language pathologists (SLPs) in the management of adults with oropharyngeal dysphagia (OD) in the Nordic countries. A web-based survey was developed that consisted of 50 questions on respondent demographics, education, experience, roles and service practices provided for adults with OD. The survey was distributed to practicing nurses, OTs, and SLPs in five Nordic countries via professional associations, social media, online networks and snowballing. Data from 396 nurses, OTs and SLPs whom provided services for adults with OD revealed that the majority of respondents worked in acute care and inpatient rehabilitation facilities. Most respondents had minimal undergraduate education and practical clinical training in OD. Notable variances in roles and service practices in OD between professions and countries were found. OTs were the primary service provider for OD management in Denmark, while SLPs had this role in the other Nordic countries. Nurses were mainly involved in screening and some compensatory treatments in most Nordic countries. Limited use of evidence-based screening, non-instrumental or instrumental clinical assessments and rehabilitative therapeutic methods was evident. Study results highlight challenges in education and training of professionals responsible for the management of adults with OD in the Nordic countries. Increased use of evidence-based assessment and exercise-based treatments to improve swallowing are warranted. Adherence to European and international clinical practice guidelines for the management of adults with OD is recommended.
DOI: 10.5281/zenodo.13598347
title: Dataset for "GPTCast: a weather language model for precipitation nowcasting"

description: Dataset for "GPTCast: a weather language model for precipitation nowcasting"



Preprint: https://arxiv.org/abs/2407.02089

Code: https://github.com/DSIP-FBK/GPTCast

Pretrained models: https://doi.org/10.5281/zenodo.13594332


Version 2 of this dataset contains also the "Forecaster Test Set" (fts.tar) which includes all generated forecasts for GPTCast8x8, GPTCast16x16, and Linda, to ensure reproducibility of the results.
DOI: 10.5281/zenodo.13598348
title: Dataset for "GPTCast: a weather language model for precipitation nowcasting"

description: Dataset for "GPTCast: a weather language model for precipitation nowcasting"



Preprint: https://arxiv.org/abs/2407.02089

Code: https://github.com/DSIP-FBK/GPTCast

Pretrained models: https://doi.org/10.5281/zenodo.13594332
DOI: 10.5281/zenodo.13692016
title: Dataset for "GPTCast: a weather language model for precipitation nowcasting"

description: Dataset for "GPTCast: a weather language model for precipitation nowcasting"



Preprint: https://arxiv.org/abs/2407.02089

Code: https://github.com/DSIP-FBK/GPTCast

Pretrained models: https://doi.org/10.5281/zenodo.13594332


Version 2 of this dataset contains also the "Forecaster Test Set" (fts.tar) which includes all generated forecasts for GPTCast8x8, GPTCast16x16, and Linda, to ensure reproducibility of the results.
DOI: 10.6084/m9.figshare.27020455.v4
title: <b>Assessment of computational methods in predicting TCR-epitope binding recognition</b>

description: T-cell receptors (TCRs) are critical for the immune system's ability to recognize specific epitopes. Accurate prediction of TCR-epitope interactions is fundamental for understanding and enhancing immune responses. Despite significant advances in computational methods for TCR-epitope binding prediction, a thorough evaluation of these tools remains lacking. Here, we assessed 21 state-of-the-art TCR-epitope prediction models using 11 datasets covering 756 epitopes and over 64 million TCR sequences. Our analysis revealed that the choice of training data, including the source of negative TCR and the ratio of positive to negative samples, significantly influences model efficacy. Additionally, there was a positive correlation between the number of TCRs associated with an epitope and model performance, highlighting the importance of large and diverse datasets. Higher sequence similarity among TCRs linked to a single epitope also boosted predictive accuracy, indicating enhanced performance with closely related TCRs. Evaluations on seen and unseen epitopes demonstrated generalization capability of various models, offering practical benchmarks for real-world applications. These insights would guide the development of more accurate and robust computational tools for TCR-epitope interaction prediction, accelerating advancements in this evolving field.
DOI: 10.57932/f72f9515-3699-4fae-92fc-a350075d042f
title: SMOS rSIR-enhanced brightness temperature maps on Greenland and Antarctica, v1.0

description: This dataset contains the twice-daily enhanced resolution brightness temperature (TB) maps from the Soil Moisture and Ocean Salinity (SMOS) mission on Greenland and Antarctica. Please read the README-TB.TXT file for more information.
DOI: 10.5281/zenodo.12582553
title: Wind Tunnel Testing and Performance Modeling of an Atmospheric Ion Thruster

description: Repository relative to article "Wind Tunnel Testing and Performance Modeling of an Atmospheric Ion Thruster"
DOI: 10.5281/zenodo.12582554
title: Wind Tunnel Testing of an Atmospheric Ion Thruster

description: Repository relative to article "Wind Tunnel Testing of an Atmospheric Ion Thruster"

 

updated DOI:  10.5281/zenodo.13627210
DOI: 10.5281/zenodo.13627210
title: Wind Tunnel Testing and Performance Modeling of an Atmospheric Ion Thruster

description: Repository relative to article "Wind Tunnel Testing and Performance Modeling of an Atmospheric Ion Thruster"
DOI: 10.57932/1970fb7c-cdb4-4ddf-9891-1e6836a46f25
title: SMOS rSIR-enhanced melt maps on Greenland and Antarctica, v1.0

description: This dataset contains the twice-daily binary melt status obtained from the Soil Moisture and Ocean Salinity (SMOS) rSIR-enhanced brightness temperature product. Please read the README-MELT.TXT file for more information.
DOI: 10.15468/dl.kphtm5
title: Occurrence Download

description: A dataset containing 633881 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Switzerland",
 "TaxonKey is Cyperaceae"
 ]
}

 The dataset includes 633881 records from 174 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026770-240906103802322/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.27088660
title: Neuronal Differentiation of Human Glioma Cells Induced by Parthenolide

description: <b>Objective:</b> Previous drug repositioning studies have suggested that parthenolide may be a differentiation-inducing agent for glioma cells. This study aimed to experimentally verify the neuronal differentiation-inducing effects and proliferative impact of parthenolide on human glioma cells and explore its potential mechanisms. <b>Methods:</b> HE staining was used to observe the morphological changes in human glioma cell lines U87 and A172 induced by parthenolide. Immunocytochemistry was conducted to detect the expression of differentiation markers. The Ki-67 detection and CCK-8 assay were used to assess the effects of parthenolide on cell proliferation. The sphere formation assay was conducted to evaluate the self-renewal. GSCs derived from U87 cells were utilized to assess the ability of parthenolide to induce differentiation in GSCs. Western blot was used to detect the expression of HDAC1. Bioinformatics analysis based on the CGGA database was conducted to evaluate the role of HDAC1 in glioma. <b>Results:</b> Parthenolide (4μM) altered the morphology of U87 and A172 cells, as elongated cell projections were observed. Parthenolide induced glioma cells to express neuronal markers NeuN, MAP2, SYP, and NEFL, but not astrocyte or oligodendrocyte markers. Parthenolide significantly inhibited proliferation and self-renewal in glioma cell. Similar effects were observed in U87 GSCs. Furthermore, parthenolide downregulated HDAC1 expression in glioma cells, and the bioinformatics analysis revealed a potential relationship between neuronal characteristics and low expression of HDAC1 in glioma. <b>Conclusion:</b> Parthenolide induced neuronal differentiation and inhibited the cell proliferation in human glioma cells, which might be associated with the inhibition of HDAC1.
DOI: 10.15468/dl.kb23zp
title: Occurrence Download

description: A dataset containing 597566 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Norway",
 "TaxonKey is Cyperaceae"
 ]
}

 The dataset includes 597566 records from 236 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026771-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.xzv254
title: Occurrence Download

description: A dataset containing 382204 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Continent is Europe",
 "Country is Belgium",
 "TaxonKey is Cyperaceae"
 ]
}

 The dataset includes 382204 records from 120 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026772-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.s7pqu5
title: Occurrence Download

description: A dataset containing 52 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is China",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "TaxonKey is Mikania micrantha Kunth"
 ]
}

 The dataset includes 52 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0026784-240906103802322/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.