cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10531243
title: Bryansk UFSIN News Crawl Pt.2

description: WARC files produced by a webcrawl of Bryansk UFSIN news online resource. WARC reader is necessary to view files.
DOI: 10.5281/zenodo.10531244
title: Bryansk UFSIN News Crawl Pt.2

description: WARC files produced by a webcrawl of Bryansk UFSIN news online resource. WARC reader is necessary to view files.
DOI: 10.6084/m9.figshare.25025893
title: Additional file 1 of Multiple Anopheles species complicate downstream analysis and decision-making in a malaria pre-elimination area in southern Mozambique

description: Additional file 1. Sequence data.
DOI: 10.6084/m9.figshare.25025893.v1
title: Additional file 1 of Multiple Anopheles species complicate downstream analysis and decision-making in a malaria pre-elimination area in southern Mozambique

description: Additional file 1. Sequence data.
DOI: 10.6084/m9.figshare.25025966
title: Financial dataset for propensity.xlsx

description: The data sets are the information on banking and financial history of customers. This can be used to take relevant decisions based on the history of customer with the bank.
DOI: 10.5281/zenodo.10531160
title: Flaky and True Failures Logs to Accompany "230,439 Test Failures Later: An Empirical Evaluation of Flaky Failure Classifiers"

description: Flaky tests are tests that can non-deterministically pass or fail, even in the absence of code changes. Despite being a source of false alarms, flaky tests often remain in test suites once they are detected, as they also may be relied upon to detect true failures. Hence, a key open problem in flaky test research is: How to quickly determine if a test failed due to flakiness, or if it detected a bug? The state-of-the-practice is for developers to re-run failing tests: if a test fails and then passes, it is flaky by definition; if the test persistently fails, it is likely a true failure. However, this approach can be both ineffective and inefficient. An alternate approach that developers may already use for triaging test failures is failure de-duplication, which matches newly discovered test failures to previously witnessed flaky and true failures. However, because flaky test failure symptoms might resemble those of true failures, there is a risk of missclassifying a true test failure as a flaky failure to be ignored. Using a dataset of 498 flaky tests from 22 open-source Java projects, we collect a large dataset of 230,439 failure messages (both flaky and not), allowing us to empirically investigate the efficacy of failure de-duplication. We find that for some projects, this approach is extremely effective (with 100\% specificity), while for other projects, the approach is entirely ineffective. By analyzing the characteristics of these flaky and non-flaky failures, we provide useful guidance on how developers should rely on this approach.
description: This dataset contains both flaky failure logs (gathered from the FlakeFlagger dataset) and true failure logs (collected through mutation analysis). The dataset consists of the following content:

project_name.tgz: 



The project folder includes subfolders, each representing a flaky test.

Each subfolder, named after a test, contains the following files:



pit-report.xml: Result of running a test on mutations. If the file name contains 5X, it indicates the report's result from 5 runs (reported once). If it contains 1X, it reports the result of a single run against all mutants. Total runs per test are 20X.

test_name.xml: Contains sets of all flaky and true failures of a particular test.

summary-of-test_name.xml: A simplified version of the test_name.xml file used as the final shape to be used in our paper (See our repo below for more details).




FlakeFlagger-testCode-CUT-reports.tgz:



List of Code-Under-Test files names and test code files names used to collect classifier features (refer to Table 1 in the paper).


pit-indexes-per-test.tgz:



JSON file with test names as keys and mutation indexes in pit reports indicating killed, survived, or flaky mutants. This file can be reproduced using the scripts available in our GitHub repo. 


All scripts for replicating the experiment or analyzing the dataset can be accessed in our GitHub repo (https://github.com/AlshammariA/FailureLogClassifiers)
DOI: 10.5281/zenodo.10531159
title: Flaky and True Failures Logs to Accompany "230,439 Test Failures Later: An Empirical Evaluation of Flaky Failure Classifiers"

description: Flaky tests are tests that can non-deterministically pass or fail, even in the absence of code changes. Despite being a source of false alarms, flaky tests often remain in test suites once they are detected, as they also may be relied upon to detect true failures. Hence, a key open problem in flaky test research is: How to quickly determine if a test failed due to flakiness, or if it detected a bug? The state-of-the-practice is for developers to re-run failing tests: if a test fails and then passes, it is flaky by definition; if the test persistently fails, it is likely a true failure. However, this approach can be both ineffective and inefficient. An alternate approach that developers may already use for triaging test failures is failure de-duplication, which matches newly discovered test failures to previously witnessed flaky and true failures. However, because flaky test failure symptoms might resemble those of true failures, there is a risk of missclassifying a true test failure as a flaky failure to be ignored. Using a dataset of 498 flaky tests from 22 open-source Java projects, we collect a large dataset of 230,439 failure messages (both flaky and not), allowing us to empirically investigate the efficacy of failure de-duplication. We find that for some projects, this approach is extremely effective (with 100\% specificity), while for other projects, the approach is entirely ineffective. By analyzing the characteristics of these flaky and non-flaky failures, we provide useful guidance on how developers should rely on this approach.
description: This dataset contains both flaky failure logs (gathered from the FlakeFlagger dataset) and true failure logs (collected through mutation analysis). The dataset consists of the following content:

project_name.tgz: 



The project folder includes subfolders, each representing a flaky test.

Each subfolder, named after a test, contains the following files:



pit-report.xml: Result of running a test on mutations. If the file name contains 5X, it indicates the report's result from 5 runs (reported once). If it contains 1X, it reports the result of a single run against all mutants. Total runs per test are 20X.

test_name.xml: Contains sets of all flaky and true failures of a particular test.

summary-of-test_name.xml: A simplified version of the test_name.xml file used as the final shape to be used in our paper (See our repo below for more details).




FlakeFlagger-testCode-CUT-reports.tgz:



List of Code-Under-Test files names and test code files names used to collect classifier features (refer to Table 1 in the paper).


pit-indexes-per-test.tgz:



JSON file with test names as keys and mutation indexes in pit reports indicating killed, survived, or flaky mutants. This file can be reproduced using the scripts available in our GitHub repo. 


All scripts for replicating the experiment or analyzing the dataset can be accessed in our GitHub repo (https://github.com/AlshammariA/FailureLogClassifiers)
DOI: 10.5281/zenodo.10531237
title: Dataset for the study "How Do Tropical Cyclone Frequency and Intensity Respond to More Clouds?"

description: This dataset contains the necessary data to draw the figures in the manuscript "How Do Tropical Cyclone Frequency and Intensity Respond to More Clouds?"
DOI: 10.5281/zenodo.10531238
title: Dataset for the study "How Do Tropical Cyclone Frequency and Intensity Respond to More Clouds?"

description: This dataset contains the necessary data to draw the figures in the manuscript "How Do Tropical Cyclone Frequency and Intensity Respond to More Clouds?"
DOI: 10.5517/ccdc.csd.cc2h7kmy
title: CCDC 2301180: Experimental Crystal Structure Determination

description: Related Article: Haoqi Li, Xiao Wei, Xi Kang, Manzhou Zhu|2024|Nanoscale|16|1254|doi:10.1039/D3NR05464K
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.cc2h7kp0
title: CCDC 2301182: Experimental Crystal Structure Determination

description: Related Article: Haoqi Li, Xiao Wei, Xi Kang, Manzhou Zhu|2024|Nanoscale|16|1254|doi:10.1039/D3NR05464K
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.cc2h7kq1
title: CCDC 2301183: Experimental Crystal Structure Determination

description: Related Article: Haoqi Li, Xiao Wei, Xi Kang, Manzhou Zhu|2024|Nanoscale|16|1254|doi:10.1039/D3NR05464K
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.cc2h7pk0
title: CCDC 2301302: Experimental Crystal Structure Determination

description: Related Article: Taufiqueahmed Mujawar, Petr Sevelda, Dominik Madea, Petr Klán, Jakub Švenda|2024|J.Am.Chem.Soc.|146|1603|doi:10.1021/jacs.3c11778
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.cc2h831y
title: CCDC 2301689: Experimental Crystal Structure Determination

description: Related Article: Ekaterina A. Konopkina, Alexander V. Gopin, Anton S. Pozdeev, Maria G. Chernysheva, Paulina Kalle, Elizaveta A. Pavlova, Stepan N. Kalmykov, Vladimir G. Petrov, Nataliya E. Borisova, Alexander A. Guda, Petr I. Matveev|2024|Phys.Chem.Chem.Phys.(PCCP)|26|2548|doi:10.1039/D3CP05081E
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: 10.25505/fiz.icsd.cc2h83ws
title: CSD 2301715: Experimental Crystal Structure Determination

description: Related Article: bhautik dhori|2023|ICSD Communication|||
description: Related Article: Bhautik R. Dhori, Prafulla K. Jha, Brahmananda Chakraborty|2024|J.Mater.Chem.C|12|930|doi:10.1039/D3TC03700B
description: An entry from the Inorganic Crystal Structure Database, the world’s repository for inorganic crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the joint CCDC and FIZ Karlsruhe Access Structures service and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2h8fnw
title: CCDC 2302018: Experimental Crystal Structure Determination

description: Related Article: Lamya H. Al-Wahaibi, Kowsalya Alagappan, Rosa M. Gomila, Olivier Blacque, Antonio Frontera, M. Judith Percino, Ali A. El-Emam, Subbiah Thamotharan|2023|RSC Advances|13|34064|doi:10.1039/D3RA07169C
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.cc2h8fpx
title: CCDC 2302019: Experimental Crystal Structure Determination

description: Related Article: Lamya H. Al-Wahaibi, Kowsalya Alagappan, Rosa M. Gomila, Olivier Blacque, Antonio Frontera, M. Judith Percino, Ali A. El-Emam, Subbiah Thamotharan|2023|RSC Advances|13|34064|doi:10.1039/D3RA07169C
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.cc2fcy1t
title: CCDC 2245796: Experimental Crystal Structure Determination

description: Related Article: Praveen Kumar, Mala Nath|2024|J.Mol.Struct.|1300|137250|doi:10.1016/j.molstruc.2023.137250
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: 10.5281/zenodo.10531443
title: Topographic control points

description: This is the dataset for topographic control points in Canada. These control points acts as choke points for the flow of water during low flow and stops water from flowing. But during high flow season the water overtops from these points and flows easily. These points are critical which influence Fill-and-spill hydrology of the Canadian shield. 

This folder contains:



Choke_points_all.shp for all control points in Canada after the removal of misclassified data.


Fields: 

Note: Contains the description of control points. What are these

StationNum: This is the station number of gauged watershed that is impacted by this choke point

NameNom: This is the name of the watershed which is impacted by this choke point

X_location, Y_location: Coordiante of location of control point

    2. Same data in the database Choke_points_gauged_ungauged

    3. Misclassified data are in two shapefiles Misclassified_chokepoints and Misclassified_chokepoints_1
DOI: 10.5281/zenodo.10531444
title: Topographic control points

description: This is the dataset for topographic control points in Canada. These control points acts as choke points for the flow of water during low flow and stops water from flowing. But during high flow season the water overtops from these points and flows easily. These points are critical which influence Fill-and-spill hydrology of the Canadian shield. 

This folder contains:



Choke_points_all.shp for all control points in Canada after the removal of misclassified data.


Fields: 

Note: Contains the description of control points. What are these

StationNum: This is the station number of gauged watershed that is impacted by this choke point

NameNom: This is the name of the watershed which is impacted by this choke point

X_location, Y_location: Coordiante of location of control point

    2. Same data in the database Choke_points_gauged_ungauged

    3. Misclassified data are in two shapefiles Misclassified_chokepoints and Misclassified_chokepoints_1
DOI: 10.6084/m9.figshare.19732405
title: The double burden of stressful life events among professional nurses: public mass shootings during the COVID-19 pandemic

description: This dataset providing for the article published in the International Journal of Qualitative Studies on Health
<br>
DOI: 10.6084/m9.figshare.19732405.v1
title: The double burden of stressful life events among professional nurses: public mass shootings during the COVID-19 pandemic

description: This dataset providing for the article published in the International Journal of Qualitative Studies on Health
<br>
DOI: 10.6084/m9.figshare.19732405.v2
title: The double burden of stressful life events among professional nurses: public mass shootings during the COVID-19 pandemic

description: This dataset providing for the article published in the International Journal of Qualitative Studies on Health
<br>
DOI: 10.25919/c0af-1k67
title: OD6 Splinter Rock Tempest AEM survey

description: This is a collection of inverted and gridded airborne electromagnetic data for the Splinter Rock airborne electromagnetic (AEM) survey obtained by OD6. 

OD6 had requested CSIRO reprocess, invert, and interpret the Tempest AEM data in order to improve their understanding of palaeovalley structures that could host REE deposits.
DOI: 10.5281/zenodo.10531387
title: I-DIC EBSD indexation results

description: This dataset contains the I-DIC indexation results of the EBSD diffraction patterns captured from an in-situ tensile-loaded polycrystalline Al-6(wt%)Mg sample (gauge length 5 mm), including the crystal orientations and calibrated PC coordinates. The indexation results are stored in the format of MATLAB matrix files, named 'ParamsEulxxx.mat' where 'xxx' is the displacement of tensile loading. The dimensions of these matrices are Y*X*6, where three Bunge Euler angles and three PC coordinates are stored in each pixel of EBSD acquisition. To be noticed, these data are in the reference system of the EBSD screen.
DOI: 10.5281/zenodo.10531388
title: I-DIC EBSD indexation results

description: This dataset contains the I-DIC indexation results of the EBSD diffraction patterns captured from an in-situ tensile-loaded polycrystalline Al-6(wt%)Mg sample (gauge length 5 mm), including the crystal orientations and calibrated PC coordinates. The indexation results are stored in the format of MATLAB matrix files, named 'ParamsEulxxx.mat' where 'xxx' is the displacement of tensile loading. The dimensions of these matrices are Y*X*6, where three Bunge Euler angles and three PC coordinates are stored in each pixel of EBSD acquisition. To be noticed, these data are in the reference system of the EBSD screen.
DOI: 10.6084/m9.figshare.25026122
title: <b>Ensemble Deep Learning Network Model for Automatic Brain tumor classification and Segmentation</b>

description: In our proposed system, we don’t require any additional feature extraction and selection techniques for classification; the classification system has the DenseNet-121 model as its backbone; it automatically selects effective disease features and processes those features for classification, which reduces the computational complexity of the models.
DOI: 10.6084/m9.figshare.25026122.v1
title: <b>Ensemble Deep Learning Network Model for Automatic Brain tumor classification and Segmentation</b>

description: In our proposed system, we don’t require any additional feature extraction and selection techniques for classification; the classification system has the DenseNet-121 model as its backbone; it automatically selects effective disease features and processes those features for classification, which reduces the computational complexity of the models.
DOI: 10.5281/zenodo.10531169
title: Wavelet-Inspired Multi-channel Score-based Model for Limited-angle CT Reconstruction
DOI: 10.5281/zenodo.10531170
title: Wavelet-Inspired Multi-channel Score-based Model for Limited-angle CT Reconstruction
DOI: 10.6084/m9.figshare.25026152.v1
title: <b>MiR-155 promotes compensatory lung growth by inhibiting JARID2 activation of CD34</b><sup><strong>+ </strong></sup><b>endothelial progenitor cells</b>

description: Bone marrow-derived CD34-positive (CD34<sup>+</sup>) endothelial progenitor cells (EPCs) has unique functions in the mechanism of compensatory lung growth (CLG). The content of this study is mainly to describe the effect of microRNA (miR)-155 in the mechanisms of EPCs and CLG. Our study found that transfection of miR-155 mimic could promote EPC proliferation, migration and tube formation, while transfection of miR-155 inhibitor had the opposite effect. It was also found that transfection of pc-JARID2 inhibited EPC proliferation, migration and tube formation, while transfection of si-JARID2 had the opposite effect. miR-155 can target and negatively regulate JARID2 expression. Overexpression of JARID2 weakened the promoting effects of miR-155 mimic on EPC proliferation, migration, and tubular formation, while silencing JARID2 weakened the inhibitory effects of miR-155 inhibitors on EPC proliferation, migration, and tubular formation. Transplantation of EPCs transfected with miR-155 mimic into the left lung model effectively increased lung volume, total alveolar number, diaphragm surface area, and lung endothelial cell number, while transplantation of EPCs co-transfected with miR-155 mimic and pc-JARID2 reversed this phenomenon. Overall, we found that miR-155 activates CD34<sup>+ </sup>EPC by targeting negative regulation of JARID2 and promotes CLG.
DOI: 10.6084/m9.figshare.25026152
title: <b>MiR-155 promotes compensatory lung growth by inhibiting JARID2 activation of CD34</b><sup><strong>+ </strong></sup><b>endothelial progenitor cells</b>

description: Bone marrow-derived CD34-positive (CD34<sup>+</sup>) endothelial progenitor cells (EPCs) has unique functions in the mechanism of compensatory lung growth (CLG). The content of this study is mainly to describe the effect of microRNA (miR)-155 in the mechanisms of EPCs and CLG. Our study found that transfection of miR-155 mimic could promote EPC proliferation, migration and tube formation, while transfection of miR-155 inhibitor had the opposite effect. It was also found that transfection of pc-JARID2 inhibited EPC proliferation, migration and tube formation, while transfection of si-JARID2 had the opposite effect. miR-155 can target and negatively regulate JARID2 expression. Overexpression of JARID2 weakened the promoting effects of miR-155 mimic on EPC proliferation, migration, and tubular formation, while silencing JARID2 weakened the inhibitory effects of miR-155 inhibitors on EPC proliferation, migration, and tubular formation. Transplantation of EPCs transfected with miR-155 mimic into the left lung model effectively increased lung volume, total alveolar number, diaphragm surface area, and lung endothelial cell number, while transplantation of EPCs co-transfected with miR-155 mimic and pc-JARID2 reversed this phenomenon. Overall, we found that miR-155 activates CD34<sup>+ </sup>EPC by targeting negative regulation of JARID2 and promotes CLG.
DOI: 10.6084/m9.figshare.25025987
title: Impact of two types of El Niño events and La Niña event on <i>Nilaparvata lugens</i> (Stål) in South China

description: 这些数据包括厄尔尼诺和拉尼娜事件的指标，以及华南地区褐飞虱侵染和发生水平的数据。
DOI: 10.6084/m9.figshare.25025987.v1
title: Impact of two types of El Niño events and La Niña event on <i>Nilaparvata lugens</i> (Stål) in South China

description: 这些数据包括厄尔尼诺和拉尼娜事件的指标，以及华南地区褐飞虱侵染和发生水平的数据。
DOI: 10.34740/kaggle/dsv/7432873
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.5281/zenodo.10531626
title: Subnational boundaries and absolute environmental sustainability under three downscaled methods

description: Subnational boundaries and absolute environmental sustainability under three downscaled methods
DOI: 10.5281/zenodo.10531627
title: Subnational boundaries and absolute environmental sustainability under three downscaled methods

description: Subnational boundaries and absolute environmental sustainability under three downscaled methods