cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10434112
title: Three-decade GNSS Reprocessing and Nonlinear Terrestrial Reference Frame Refinement: Brand-new Reconstructions in Global GNSS Grid Velocity Field and Global Plate Motion Model

description: The accurate and reliable Terrestrial Reference Frame (TRF) functions as a unified spatiotemporal datum crucial for solid earth research, encompassing disciplines such as geodesy and geodynamics. High-precision GNSS velocity field products stand out as pivotal foundational data for the maintenance of the TRF. This dataset encapsulates the outcomes of two GNSS velocity field refinement products: Global GNSS Velocity Model 2020 (GGVM2020) and the Global Interpolation Velocity Model 2020 (GIVM2020). GGVM2020 comprises velocity values and formal errors derived from over 3000 GNSS sites worldwide. And GIVM2020 incorporates speed values from approximately 2000 grid points on land globally, with a grid spacing of 3 degrees.
DOI: 10.34740/kaggle/dsv/7290463
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/7290475
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.6084/m9.figshare.24906900
title: Unmanned Aerial Vehicle (UAV) images showing cattle

description: Dataset used in cattle detection and counting to quantify cattle greenhouse gas emissions.
DOI: 10.6084/m9.figshare.24906900.v1
title: Unmanned Aerial Vehicle (UAV) images showing cattle

description: Dataset used in cattle detection and counting to quantify cattle greenhouse gas emissions.
DOI: 10.6084/m9.figshare.24235450
title: Supplementary Material for: Revised Cut-Off Value of Human Epididymis Protein 4 Enhances its Use as an Ovarian Tumor Marker

description: Objectives: Human epididymis protein 4 (HE4), a protein secreted by ovarian tumors, has been used as an ovarian tumor marker. This study aimed to improve the usefulness of HE4 to detect malignant ovarian tumors by reviewing the cut-off values.

Design: Retrospective study without intervention

Participants: One hundred forty nine healthy women (premenopausal, 126; postmenopausal, 23) and 24 patients with ovarian tumors (malignant, 12; benign, 12).

Setting: The Department of Obstetrics and Gynecology of a University hospital in Japan and the University hospital as a workplace from 2016 to 2018.

Methods: The basic performance of HE4 assay was evaluated and the serum HE4 levels of participants were measured. Receiver operating characteristic analysis was performed using the HE4 data of the patients.

Results: There were no significant differences in the HE4 levels between the pre- and postmenopausal groups of healthy women. When the global cut-off values (premenopausal, 70 pmol/L; postmenopausal, 140 pmol/L) were adopted, the clinical sensitivity, specificity, positive predictive value, and negative predictive value were 41.7%, 91.7%, 83.3%, and 61.1%, respectively. Based on the results of the receiver operating characteristic analysis, we set the HE4 cut-off level at 60 pmol/L, regardless of the menopausal status. With the newly set cut-off value, the clinical sensitivity, specificity, positive predictive value, and negative predictive value were 66.7%, 91.7%, 88.9%, and 73.3%, respectively. That is, the clinical sensitivity of HE4 was improved without lowering specificity. 

Limitations: The small number of subjects and the fact that the health status of the healthy women was evaluated based on questionnaires were limitations to the study.

Conclusion: A clinically useful cut-off value for HE4 as an ovarian tumor marker was established regardless of the menopausal status of the women, with improved clinical sensitivity, positive predictive value, and negative predictive value without lowering specificity. Currently, different cut-off values for HE4 in pre- and postmenopausal women are used globally. The cut-off value for CA125 was the same between pre- and postmenopausal women. Therefore, with the newly established cut-off value, HE4 can be used more conveniently, in a non-specialized setting, especially when it is used in combination with CA125.
DOI: 10.6084/m9.figshare.24235450.v2
title: Supplementary Material for: Revised Cut-Off Value of Human Epididymis Protein 4 Enhances its Use as an Ovarian Tumor Marker

description: Objectives: Human epididymis protein 4 (HE4), a protein secreted by ovarian tumors, has been used as an ovarian tumor marker. This study aimed to improve the usefulness of HE4 to detect malignant ovarian tumors by reviewing the cut-off values.

Design: Retrospective study without intervention

Participants: One hundred forty nine healthy women (premenopausal, 126; postmenopausal, 23) and 24 patients with ovarian tumors (malignant, 12; benign, 12).

Setting: The Department of Obstetrics and Gynecology of a University hospital in Japan and the University hospital as a workplace from 2016 to 2018.

Methods: The basic performance of HE4 assay was evaluated and the serum HE4 levels of participants were measured. Receiver operating characteristic analysis was performed using the HE4 data of the patients.

Results: There were no significant differences in the HE4 levels between the pre- and postmenopausal groups of healthy women. When the global cut-off values (premenopausal, 70 pmol/L; postmenopausal, 140 pmol/L) were adopted, the clinical sensitivity, specificity, positive predictive value, and negative predictive value were 41.7%, 91.7%, 83.3%, and 61.1%, respectively. Based on the results of the receiver operating characteristic analysis, we set the HE4 cut-off level at 60 pmol/L, regardless of the menopausal status. With the newly set cut-off value, the clinical sensitivity, specificity, positive predictive value, and negative predictive value were 66.7%, 91.7%, 88.9%, and 73.3%, respectively. That is, the clinical sensitivity of HE4 was improved without lowering specificity. 

Limitations: The small number of subjects and the fact that the health status of the healthy women was evaluated based on questionnaires were limitations to the study.

Conclusion: A clinically useful cut-off value for HE4 as an ovarian tumor marker was established regardless of the menopausal status of the women, with improved clinical sensitivity, positive predictive value, and negative predictive value without lowering specificity. Currently, different cut-off values for HE4 in pre- and postmenopausal women are used globally. The cut-off value for CA125 was the same between pre- and postmenopausal women. Therefore, with the newly established cut-off value, HE4 can be used more conveniently, in a non-specialized setting, especially when it is used in combination with CA125.
DOI: 10.6084/m9.figshare.24235450.v1
title: Supplementary Material for: Revised Cut-Off Value of Human Epididymis Protein 4 Enhances its Use as an Ovarian Tumor Marker

description: Objectives: Human epididymis protein 4 (HE4), a protein secreted by ovarian tumors, has been used as an ovarian tumor marker. This study aimed to improve the usefulness of HE4 to detect malignant ovarian tumors by reviewing the cut-off values.

Design: Retrospective study without intervention

Participants: One hundred forty nine healthy women (premenopausal, 126; postmenopausal, 23) and 24 patients with ovarian tumors (malignant, 12; benign, 12).

Setting: The Department of Obstetrics and Gynecology of a University hospital in Japan and the University hospital as a workplace from 2016 to 2018.

Methods: The basic performance of HE4 assay was evaluated and the serum HE4 levels of participants were measured. Receiver operating characteristic analysis was performed using the HE4 data of the patients.

Results: There were no significant differences in the HE4 levels between the pre- and postmenopausal groups of healthy women. When the global cut-off values (premenopausal, 70 pmol/L; postmenopausal, 140 pmol/L) were adopted, the clinical sensitivity, specificity, positive predictive value, and negative predictive value were 41.7%, 91.7%, 83.3%, and 61.1%, respectively. Based on the results of the receiver operating characteristic analysis, we set the HE4 cut-off level at 60 pmol/L, regardless of the menopausal status. With the newly set cut-off value, the clinical sensitivity, specificity, positive predictive value, and negative predictive value were 66.7%, 91.7%, 88.9%, and 73.3%, respectively. That is, the clinical sensitivity of HE4 was improved without lowering specificity. 

Limitations: The small number of subjects and the fact that the health status of the healthy women was evaluated based on questionnaires were limitations to the study.

Conclusion: A clinically useful cut-off value for HE4 as an ovarian tumor marker was established regardless of the menopausal status of the women, with improved clinical sensitivity, positive predictive value, and negative predictive value without lowering specificity. Currently, different cut-off values for HE4 in pre- and postmenopausal women are used globally. The cut-off value for CA125 was the same between pre- and postmenopausal women. Therefore, with the newly established cut-off value, HE4 can be used more conveniently, in a non-specialized setting, especially when it is used in combination with CA125.
DOI: 10.6084/m9.figshare.23666663
title: Screening for native <i>Trichoderma</i> strains as potential biocontrollers of the olive pathogen <i>Verticillium dahliae</i>

description: <i>Verticillium dahliae</i> is a soilborne pathogen that causes significant losses in olive crops in northwestern Argentina. Biological control through antagonistic microorganisms such as <i>Trichoderma</i> has great potential in the management of <i>Verticillium</i> wilt of olive. This investigation aims to isolate, identify and characterize native <i>Trichoderma</i> strains for biocontrol of <i>V. dahliae</i>. Thirty-nine <i>Trichoderma</i> strains were isolated from soils of olive orchards and natural areas and they were morphologically and molecularly characterized. Desired attributes for plant growth and bioprotection, such as indole acetic acid (IAA) production, endophytism and antagonistic potential against the pathogen were evaluated. Thirteen <i>Trichoderma</i> species were identified, belonging to the <i>Trichoderma, Longibrachiatum, Virens,</i> and <i>Harzianum</i> clades. Physiological characterization revealed that fourteen strains produced IAA while ten showed endophytic capacity. The antagonistic parameters quantified were very variable: eight strains showed high growth inhibition values (PI &gt; 65%), while six strains reached mycoparasitism (PM) values higher than 90% for both pathogens. Three endophytic strains exhibited IAA production and antagonistic activity against <i>V. dahliae</i>, becoming potential candidates for bioprotection of olive orchards. Olive cultivation in the arid regions of northwestern Argentina is subjected to strong stress conditions mainly due to the type of soils with low organic matter content and water retention. Thus, selected <i>Trichoderma</i> strains with more than one beneficial attribute are a fundamental tool for sustainable olive cultivation, not only as antagonists of emerging pathogens but also as mitigators of abiotic stress conditions that prevail in these environments.
DOI: 10.6084/m9.figshare.23666663.v1
title: Screening for native <i>Trichoderma</i> strains as potential biocontrollers of the olive pathogen <i>Verticillium dahliae</i>

description: <i>Verticillium dahliae</i> is a soilborne pathogen that causes significant losses in olive crops in northwestern Argentina. Biological control through antagonistic microorganisms such as <i>Trichoderma</i> has great potential in the management of <i>Verticillium</i> wilt of olive. This investigation aims to isolate, identify and characterize native <i>Trichoderma</i> strains for biocontrol of <i>V. dahliae</i>. Thirty-nine <i>Trichoderma</i> strains were isolated from soils of olive orchards and natural areas and they were morphologically and molecularly characterized. Desired attributes for plant growth and bioprotection, such as indole acetic acid (IAA) production, endophytism and antagonistic potential against the pathogen were evaluated. Thirteen <i>Trichoderma</i> species were identified, belonging to the <i>Trichoderma, Longibrachiatum, Virens,</i> and <i>Harzianum</i> clades. Physiological characterization revealed that fourteen strains produced IAA while ten showed endophytic capacity. The antagonistic parameters quantified were very variable: eight strains showed high growth inhibition values (PI &gt; 65%), while six strains reached mycoparasitism (PM) values higher than 90% for both pathogens. Three endophytic strains exhibited IAA production and antagonistic activity against <i>V. dahliae</i>, becoming potential candidates for bioprotection of olive orchards. Olive cultivation in the arid regions of northwestern Argentina is subjected to strong stress conditions mainly due to the type of soils with low organic matter content and water retention. Thus, selected <i>Trichoderma</i> strains with more than one beneficial attribute are a fundamental tool for sustainable olive cultivation, not only as antagonists of emerging pathogens but also as mitigators of abiotic stress conditions that prevail in these environments.
DOI: 10.5281/zenodo.10433528
title: Midway RSS-related files backup (Data, scz2014)
DOI: 10.5281/zenodo.10433527
title: Midway RSS-related files backup (Data, scz2014)
DOI: 10.5281/zenodo.10435734
title: Remediation of Metal Oxide Nanotoxicity with A Functional Amyloid

description: The molecular dynamics simulations on the binding of metal ions with the beta-lactoglobulin (bLg) amyloid fibrils.
DOI: 10.5281/zenodo.10435735
title: Remediation of Metal Oxide Nanotoxicity with A Functional Amyloid

description: The molecular dynamics simulations on the binding of metal ions with the beta-lactoglobulin (bLg) amyloid fibrils.
DOI: 10.5281/zenodo.10379010
title: Supplementary Materials - Integrating Spatial Analyses and Microbotanical Remains: A Methodological Approach for Investigating Plant Processing Activities and Domestic Spaces at Neolithic Çatalhöyük.

description: Supplementary Materials I, II, and III - Integrating Spatial Analyses and Microbotanical Remains: A Methodological Approach for Investigating Plant Processing Activities and Domestic Spaces at Neolithic Çatalhöyük.

 

Supplementary I contains the raw data for the microbotanical analyses on Buildings 80 and 131. It consists of laboratory track sheets and the raw counts of phytoliths and starch grains from each building.

Supplementary II contains: a) A detailed description of all the starch grain typologies encountered in this research along with references from modern reference collections; b) A visual example of each of the phytolith morphotypes identified and c) The variogram and the Kriging error variances.

Supplementary III refers to the R code, building shape files (Mask), and spatial data utilized to produce the Kriging and IDW stipital objects.
DOI: 10.5281/zenodo.10379011
title: Supplementary Materials - Integrating Spatial Analyses and Microbotanical Remains: A Methodological Approach for Investigating Plant Processing Activities and Domestic Spaces at Neolithic Çatalhöyük.

description: Supplementary Materials I, II, and III - Integrating Spatial Analyses and Microbotanical Remains: A Methodological Approach for Investigating Plant Processing Activities and Domestic Spaces at Neolithic Çatalhöyük.

 

Supplementary I contains the raw data for the microbotanical analyses on Buildings 80 and 131. It consists of laboratory track sheets and the raw counts of phytoliths and starch grains from each building.

Supplementary II contains: a) A detailed description of all the starch grain typologies encountered in this research along with references from modern reference collections; b) A visual example of each of the phytolith morphotypes identified and c) The variogram and the Kriging error variances.

Supplementary III refers to the R code, building shape files (Mask), and spatial data utilized to produce the Kriging and IDW stipital objects.
DOI: 10.5281/zenodo.10435813
title: Psychometric properties of Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE®) in breast cancer patients: the prospective observational multicenter VIP study.

description: Dataset for the proposed manuscript Psychometric properties of Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE®) in breast cancer patients: the prospective observational multicenter VIP study.
DOI: 10.5281/zenodo.10435812
title: Psychometric properties of Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE®) in breast cancer patients: the prospective observational multicenter VIP study.

description: Dataset for the proposed manuscript Psychometric properties of Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE®) in breast cancer patients: the prospective observational multicenter VIP study.
DOI: 10.6084/m9.figshare.24847920
title: The Dataset for the book chapter on "Classifying User Intent for Effective Prompt Engineering: A Case of a Chatbot for StartupTeams".

description: This dataset has been used to write a book chapter on the topic of "<b>Classifying User Intent for Effective Prompt </b><b>Engineering: A Case of a Chatbot for Startup </b><b>Teams</b>". The dataset contains the following five resources:<b>Startup questions and intent classifications</b>- This resource demonstrates a list of possible questions and the classification of those questions into four intents i.e. reflecting on own experience, seeking information, brainstorming, and seeking advice<b>Prompt_Book_v1- </b>The file contains a brief guide on how questions are classified, a description of prompt patterns and templates, and lastly matching purpose-prompt pattern<br><b>Questions_classification_script- </b>The Python script used in our work to classify user intent<br><b>Survey_questionnaire- </b>The original survey questions asked from the participants<br><b>survey_responses- </b>Survey responses from study respondents
DOI: 10.5517/ccdc.csd.cc2c16n9
title: CCDC 2175910: Experimental Crystal Structure Determination

description: Related Article: Miao Tang, Dan Zheng, Jayanta Samanta, Esther H.R. Tsai, Huibin Qiu, Jacquelyne A. Read, Chenfeng Ke|2023|Chem (Cell Press)|9|3515|doi:10.1016/j.chempr.2023.07.020
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: 10.34740/kaggle/dsv/7290828
title: COVID Vaccination in World (updated daily)
DOI: 10.5281/zenodo.10435826
title: Can Gamification Define Your Preference? Analysing the Impact of the Inclusion of Gamification Elements on Self-brand Connection and Brand Loyalty
DOI: 10.5281/zenodo.10435827
title: Can Gamification Define Your Preference? Analysing the Impact of the Inclusion of Gamification Elements on Self-brand Connection and Brand Loyalty
DOI: 10.5281/zenodo.10435859
title: mechanitis_lysimnia_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.10435860
title: mechanitis_lysimnia_spades_01.fasta.gz

description: .
DOI: 10.5281/zenodo.6719731
title: Evaluation datasets and results for the paper "Modeling Extraneous Activity Delays in Business Process Simulation"

description: Event-logs and Business Process Simulation Models used in the experimentation of the paper "Modeling Extraneous Activity Delays in Business Process Simulation", where the '<em>inputs</em>' folder contains all the files used as input, and the '<em>output</em>' folder the results of the experimentation. <em><strong>Inputs</strong></em>: event-logs and BPS models used as input in the experimentation. <em><strong>Real-life</strong></em>: real-life event logs, corresponding to two disjoint subsets of the traces from BPIC 2012 and BPIC 2017 event logs (filtered as explained in the paper), and the BPS model used as input for each dataset in the presented approach. <em><strong>Simulated</strong></em>: simulated event-logs and corresponding BPS models for five different processes, four of them with 0, 1, and 4 timer events. <em><strong>Outputs</strong></em>: results of the experimentation, where three versions of the proposed approach were evaluated (naive, hyperparameter optimization with no holdout, and hyperparameter optimization with holdout). Each of the results' folder is composed by the original and the three enhanced BPS models, 10 simulated event logs with each of them, two folders with the best iteration of the two hyperparameter optimization processes, and the values for the injected timers in each case. In addition, a CSV file with the EMD metrics (cycle time and absolute hour event distribution) for each dataset is provided. <em><strong>Real-life</strong></em>: results corresponding to the real-life event logs. <em><strong>Simulated</strong></em>: results corresponding to the simulated event-logs.
description: {"references": ["van Dongen, Boudewijn (2017): BPI Challenge 2017. 4TU.ResearchData. Dataset. https://doi.org/10.4121/uuid:5f3067df-f10b-45da-b98b-86ae4c7a310b", "van Dongen, Boudewijn (2012): BPI Challenge 2012. 4TU.ResearchData. Dataset. https://doi.org/10.4121/uuid:3926db30-f712-4394-aebc-75976070e91f"]}
DOI: 10.5281/zenodo.7828658
title: Evaluation datasets and results for the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays"

description: Event-logs and Business Process Simulation Models used in the experimentation of the paper "Enhancing Business Process Simulation Models with Extraneous Activity Delays", where the '<em>inputs</em>' folder contains all the files used as input, and the '<em>output</em>' folder the results of the evaluation. <em><strong>Inputs</strong></em>: event-logs, BPS models, and simulation parameters used as input in the experimentation. <em><strong>Real-life</strong></em>: real-life event logs, corresponding to two disjoint subsets of traces from an Academic Credentials' process, and the BPIC 2012 and BPIC 2017 event logs (filtered as explained in the paper), and the BPS model (plus simulation parameters) used as input for each dataset in the presented approach. <em><strong>Synthetic</strong></em>: simulated event-logs and corresponding BPS models (plus simulation parameters) for four different processes with 0, 1, 3 and 5 timer events. <em><strong>Outputs</strong></em>: results of the experimentation. <em><strong>Real-life</strong></em>: results corresponding to the evaluation with real-life event logs. Each of the folders is composed by the original and the enhanced BPS models, 10 event logs simulated with each of them, two folders with the best iteration of the two hyperparameter optimization processes, and the values for the injected timers in each case. In addition, a CSV file with the EMD metrics (cycle time and absolute hour event distribution) for each dataset is provided. <em><strong>Synthetic</strong></em>: results corresponding to the simulated event-logs. Before-After: BPS models and discovered timer events for the four synthetic processes, with five timers placed before and after different activity instances. Complete: BPS models and quality measures (precision, recall, and SMAPE of the discovered timers) for the four synthetic processes with zero, one, three, and five timer events. Individual: event logs enhanced with the discovered extraneous delay for each activity instance, for the four synthetic processes with zero, one, three, and five timer events; and SMAPE of the estimations.
description: {"references": ["van Dongen, Boudewijn (2017): BPI Challenge 2017. 4TU.ResearchData. Dataset. https://doi.org/10.4121/uuid:5f3067df-f10b-45da-b98b-86ae4c7a310b", "van Dongen, Boudewijn (2012): BPI Challenge 2012. 4TU.ResearchData. Dataset. https://doi.org/10.4121/uuid:3926db30-f712-4394-aebc-75976070e91f"]}