cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10544804
title: ANR PRECOV Project: Dataset and Results

description: Le projet PRECOV a pour objet d'étudier l'immunité naturelle prépandémique contre le SARS-Cov-2 en Afrique et en Asie du Sud-Est. Il a été sélectionné par l’ANR dans le cadre de l’appel à projets intitulé « Résilience COVID-19 » en 2021. Il s'est achevé fin 2022.

Ce projet consiste à rechercher dans la population de plusieurs pays d'Afrique et d'Asie du Sud-est la présence d’une immunité naturelle préexistante au virus SARS-CoV-2 due à une exposition en période prépandémique à des antigènes de coronavirus proches du SARS-CoV-2 et à la réponse immunitaire de type humorale attendue. L’objectif est de tester la présence d’anticorps réagissant à cinq antigènes du virus SARS-CoV-2 impliqués dans l’attachement, la fusion, l’entrée et la transmission du virus.

Ce dépôt de données comporte tous les résultats de projet : données brutes (sérologie et séroneutralisation), données mises en forme de tableau EXCEL, résultats statistiques, publications.

 

The PRECOV project aims to study prepandemic natural immunity to SARS-Cov-2 in Africa and Southeast Asia. It was selected by the ANR as part of the call for projects entitled "COVID-19 Resilience" in 2021. It was completed at the end of 2022.

This project consists of investigating in the population of various coutries in Africa and Southeast Asia the presence of pre-existing natural immunity to the SARS-CoV-2 virus due to exposure in the pre-pandemic period to coronavirus antigens close to SARS-CoV-2 and the expected humoral-type immune response. The aim is to test for the presence of antibodies reacting to five SARS-CoV-2 antigens involved in virus attachment, fusion, entry and transmission.

This data repository contains all project results: raw data (serology and serum neutralization), data in EXCEL spreadsheet format, statistical results, publications.
DOI: 10.5281/zenodo.10544805
title: ANR PRECOV Project: Dataset and Results

description: Le projet PRECOV a pour objet d'étudier l'immunité naturelle prépandémique contre le SARS-Cov-2 en Afrique et en Asie du Sud-Est. Il a été sélectionné par l’ANR dans le cadre de l’appel à projets intitulé « Résilience COVID-19 » en 2021. Il s'est achevé fin 2022.

Ce projet consiste à rechercher dans la population de plusieurs pays d'Afrique et d'Asie du Sud-est la présence d’une immunité naturelle préexistante au virus SARS-CoV-2 due à une exposition en période prépandémique à des antigènes de coronavirus proches du SARS-CoV-2 et à la réponse immunitaire de type humorale attendue. L’objectif est de tester la présence d’anticorps réagissant à cinq antigènes du virus SARS-CoV-2 impliqués dans l’attachement, la fusion, l’entrée et la transmission du virus.

Ce dépôt de données comporte tous les résultats de projet : données brutes (sérologie et séroneutralisation), données mises en forme de tableau EXCEL, résultats statistiques, publications.

 

The PRECOV project aims to study prepandemic natural immunity to SARS-Cov-2 in Africa and Southeast Asia. It was selected by the ANR as part of the call for projects entitled "COVID-19 Resilience" in 2021. It was completed at the end of 2022.

This project consists of investigating in the population of various coutries in Africa and Southeast Asia the presence of pre-existing natural immunity to the SARS-CoV-2 virus due to exposure in the pre-pandemic period to coronavirus antigens close to SARS-CoV-2 and the expected humoral-type immune response. The aim is to test for the presence of antibodies reacting to five SARS-CoV-2 antigens involved in virus attachment, fusion, entry and transmission.

This data repository contains all project results: raw data (serology and serum neutralization), data in EXCEL spreadsheet format, statistical results, publications.
DOI: 10.6084/m9.figshare.25036601
title: Brasenia_schreberi-BUSCO_short_summary.specific.embryophyta_odb10

description: Draft genome of Brasenia schreberi, a worldwide distributed and endangered aquatic plant
DOI: 10.6084/m9.figshare.25036601.v1
title: Brasenia_schreberi-BUSCO_short_summary.specific.embryophyta_odb10

description: Draft genome of Brasenia schreberi, a worldwide distributed and endangered aquatic plant
DOI: 10.6084/m9.figshare.25036607
title: Brasenia_schreberi-compleasm_output_dir_eudicots_summary

description: Draft genome of Brasenia schreberi, a worldwide distributed and endangered aquatic plant
DOI: 10.6084/m9.figshare.25036607.v1
title: Brasenia_schreberi-compleasm_output_dir_eudicots_summary

description: Draft genome of Brasenia schreberi, a worldwide distributed and endangered aquatic plant
DOI: 10.6084/m9.figshare.25036613
title: Brasenia_schreberi-compleasm_output_dir_embryophyta_summary

description: Draft genome of Brasenia schreberi, a worldwide distributed and endangered aquatic plant
DOI: 10.6084/m9.figshare.25036610.v1
title: Resultados de los análisis de contenido de materiales comunicativos sobre la reforma laboral de Febrero de 2012

description: Se publican las codificaciones realizadas con todas las piezas analizadas en los análisis de contenido de materiales comunicativos sobre la reforma laboral de Febrero de 2012, de las siguientes organizaciones y medios de comunicación:Ministerio de Empleo del Gobierno de España.CC.OO.UGTCEOEDiario "El País"Diario "El Mundo"Larazon.esPúblico.esLa hoja de cálculo con todos estos análisis se acompaña de la guía de códigos completa en archivo PDF, extraída de mi tesis doctoral "Las estrategias de comunicación de los actores políticos ante el conflicto social. Análisis de sus marcos de referencia para la reforma laboral de 2012". Los datos publicados en estos archivos son los empleados tanto para dicho trabajo, como para el artículo "Framing socio-political controversy: The 2012 Spanish labor reform as a case study of cascading activation" -2022, European Journal of Communication, 37(4)-.
DOI: 10.6084/m9.figshare.25036610
title: Resultados de los análisis de contenido de materiales comunicativos sobre la reforma laboral de Febrero de 2012

description: Se publican las codificaciones realizadas con todas las piezas analizadas en los análisis de contenido de materiales comunicativos sobre la reforma laboral de Febrero de 2012, de las siguientes organizaciones y medios de comunicación:Ministerio de Empleo del Gobierno de España.CC.OO.UGTCEOEDiario "El País"Diario "El Mundo"Larazon.esPúblico.esLa hoja de cálculo con todos estos análisis se acompaña de la guía de códigos completa en archivo PDF, extraída de mi tesis doctoral "Las estrategias de comunicación de los actores políticos ante el conflicto social. Análisis de sus marcos de referencia para la reforma laboral de 2012". Los datos publicados en estos archivos son los empleados tanto para dicho trabajo, como para el artículo "Framing socio-political controversy: The 2012 Spanish labor reform as a case study of cascading activation" -2022, European Journal of Communication, 37(4)-.
DOI: 10.25345/c5fq9qg81
title: MassIVE MSV000093898 - Quinones identification standards analysis
title: Non-targeted metabolomics of environmental samples
DOI: 10.6084/m9.figshare.25036466
title: HUST-OBS—old

description: HUST-OBS
DOI: 10.6084/m9.figshare.25036466.v3
title: HUST-OBS—old

description: HUST-OBS
DOI: 10.6084/m9.figshare.25036466.v2
title: HUST-OBS

description: HUST-OBS
DOI: 10.5281/zenodo.5553203
title: Quellenangaben zur vollständigen Stichprobe

description: Quellenangaben zur vollständigen Stichprobe
DOI: 10.5281/zenodo.7105881
title: Quellenangaben zur vollständigen Stichprobe

description: Quellenangaben zur vollständigen Stichprobe
DOI: 10.5281/zenodo.10214600
title: List of referencies cited in Appendix 1

description: List of referencies cited in Appendix 1
DOI: 10.5281/zenodo.10427742
title: List of referencies cited in Appendix 1

description: List of referencies cited in Appendix 1
DOI: 10.5281/zenodo.10535754
title: List of referencies cited in Appendix 1

description: List of referencies cited in Appendix 1
DOI: 10.5281/zenodo.10539266
title: List of referencies cited in Appendix 1

description: List of referencies cited in Appendix 1
DOI: 10.5281/zenodo.4743570
title: Quellenangaben zur vollständigen Stichprobe

description: Quellenangaben zur vollständigen Stichprobe
DOI: 10.34740/kaggle/dsv/7447067
title: Global Genomic Neurofibromatosis Neoplasia
DOI: 10.34740/kaggle/dsv/7447077
title: UNET Lung Segmentation Weights for Chest X Rays
DOI: 10.6084/m9.figshare.25036643
title: HUST-OBS1

description: Oracle Bone Script data collected by VLRLab of HUST
DOI: 10.6084/m9.figshare.25036643.v2
title: HUST-OBS1

description: Oracle Bone Script data collected by VLRLab of HUST
DOI: 10.6084/m9.figshare.25036643.v1
title: HUST-OBS

description: Oracle Bone Script data collected by VLRLab of HUST
DOI: 10.34740/kaggle/dsv/7446899
title: Laptop Price Prediction
DOI: 10.5281/zenodo.10545576
title: Datasets and code for "Clause-linkage, embeddedness, and nominalizations in Chácobo (Pano)"

description: The data and code for the paper "Clause-linkage, embeddedness, and nominalizations in Chácobo (Pano)", accepted for publication in the journal Languages. 

The dataframe bickelclauselinkageandchacobo3.csv contains the clause-linkage data from Bickel (2010) but with Chácobo data added. See the full paper for additional explanation. 

Bickel, B. (2010). Capturing particulars and unviersals in clause-linkage: A multivariate analysis. En I. Bril (Ed.), Clause Linking and Clause Hierarchy: Syntax and pragmatics (págs. 51-104). Amsterdam: John Benjamins Publishing.
DOI: 10.5281/zenodo.10545577
title: Datasets and code for "Clause-linkage, embeddedness, and nominalizations in Chácobo (Pano)"

description: The data and code for the paper "Clause-linkage, embeddedness, and nominalizations in Chácobo (Pano)", accepted for publication in the journal Languages. 

The dataframe bickelclauselinkageandchacobo3.csv contains the clause-linkage data from Bickel (2010) but with Chácobo data added. See the full paper for additional explanation. 

Bickel, B. (2010). Capturing particulars and unviersals in clause-linkage: A multivariate analysis. En I. Bril (Ed.), Clause Linking and Clause Hierarchy: Syntax and pragmatics (págs. 51-104). Amsterdam: John Benjamins Publishing.
DOI: 10.5281/zenodo.10545873
title: Test_DSP Dataset

description: Test dataset for the DSP.
DOI: 10.5281/zenodo.10545874
title: Test_DSP Dataset

description: Test dataset for the DSP.
DOI: 10.34740/kaggle/dsv/7447367
title: 2021 World Population (updated daily)
DOI: 10.34740/kaggle/dsv/7447403
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.10545352
title: Terrestrial Camera Survey Database for Emagnobo, Madagascar 2019-2020

description: The dataset includes static camera survey data from 1 camera array, 11 sampling units (independent camera sites per survey), within an important biodiversity eco-region: eastern humid forest. Short camera surveys were conducted during October 2019 and March 2020.

The final dataset includes 8 unique families of mammal (Canidae, Eupleridae, Felidae, Hominidae, Lemuridae, Lepilemuridae, Suidae, Tenrecidae) comprising 12 species. Images were processed and verified by the project dataset creator.
DOI: 10.5281/zenodo.10545353
title: Terrestrial Camera Survey Database for Emagnobo, Madagascar 2019-2020

description: The dataset includes static camera survey data from 1 camera array, 11 sampling units (independent camera sites per survey), within an important biodiversity eco-region: eastern humid forest. Short camera surveys were conducted during October 2019 and March 2020.

The final dataset includes 8 unique families of mammal (Canidae, Eupleridae, Felidae, Hominidae, Lemuridae, Lepilemuridae, Suidae, Tenrecidae) comprising 12 species. Images were processed and verified by the project dataset creator.
DOI: 10.6084/m9.figshare.25036751
title: Academic and Emotional Support for MOOC Learning

description: This paper involves academic and emotional support, aiming to explore whether they contribute to users’ sustainable use of the MOOC platform. A total of 410 college students learning English as a foreign language (EFL) and with MOOC learning experience participated in this study. Employing the structural equation modeling (SEM) techniques, we examined the relationships among five factors in MOOC EFL learning context: academic support (AS), emotional support (ES), perceived useful (PU), perceived ease of use (PEoU), and platform reputation (PR).
DOI: 10.6084/m9.figshare.25036751.v1
title: Academic and Emotional Support for MOOC Learning

description: This paper involves academic and emotional support, aiming to explore whether they contribute to users’ sustainable use of the MOOC platform. A total of 410 college students learning English as a foreign language (EFL) and with MOOC learning experience participated in this study. Employing the structural equation modeling (SEM) techniques, we examined the relationships among five factors in MOOC EFL learning context: academic support (AS), emotional support (ES), perceived useful (PU), perceived ease of use (PEoU), and platform reputation (PR).
DOI: 10.6084/m9.figshare.25036754
title: Evaluating Open Access Advantages for Citations and Altmetrics (2011-21): Data Supplement

description: Data supplement for a paper examining the open access advantage for papers in six broad disciplines, published between 2011-21, using data from Dimensions and Altmetric, showing advantages for publishing rates, citation proportion, citation mean, twitter proportion, twitter mean, news proportion, new means, blog proportion, blog mean, patent proportion, patent mean, policy proportion, policy mean, wikipedia proportion, wikipedia mean
DOI: 10.5281/zenodo.10546344
title: Ionic Strength Alters Crosslinker-Driven Self-Organization of Microtubules

description: For data files corresponding to the four figures with data in the manuscript "Ionic Strength Alters Crosslinker-Driven Self-Organization of Microtubules" at Cytoskeleton.
DOI: 10.5281/zenodo.10546345
title: Ionic Strength Alters Crosslinker-Driven Self-Organization of Microtubules

description: For data files corresponding to the four figures with data in the manuscript "Ionic Strength Alters Crosslinker-Driven Self-Organization of Microtubules" at Cytoskeleton.
DOI: 10.26179/w2cb-qh38
title: Macquarie Island Station Hydrocarbon Investigation Synthesis and Risk Assessment (HISRA) Report 2023
DOI: 10.6084/m9.figshare.24803619
title: Coverage_vs._Fairness-master.zip

description: Recently, with the widespread use of deep neural networks (DNNs) in High-stakes decision-making systems (such as fraud detection and prison sentencing), concerns have arisen about the fairness of DNNs in terms of the potential negative impact they may have on individuals and society. Therefore, fairness testing has become an important research topic in DNN testing. At the same time, the neural network coverage criteria (such as criteria based on neuronal activation) is considered as an adequacy test for DNN white-box testing. It is implicitly assumed that improving the coverage can enhance the quality of test suites. Nevertheless, the correlation between DNN fairness (a test property) and coverage criteria (a test method) has not been adequately explored. To address this issue, we conducted a systematic empirical study on seven coverage criteria, six fairness metrics, three fairness testing techniques, and five bias mitigation methods on five DNN models and nine fairness datasets to assess the correlation between coverage criteria and DNN fairness. Our study achieved the following findings: 1) with the increase in the size of the test suite, some of the coverage and fairness metrics changed significantly, as the size of the test suite increased; 2) the statistical correlation between<br>coverage criteria and DNN fairness is limited; and 3) after bias mitigation for improving the fairness of DNN, the change pattern in coverage criteria is different; 4) Models debiased by different bias mitigation methods have a lower correlation between coverage and fairness compared to the original models. Our findings cast doubt on the validity of coverage criteria concerning DNN fairness (i.e., increasing the coverage may even have a negative impact on the fairness of DNNs). Therefore, we warn DNN testers against blindly pursuing higher coverage of coverage criteria at the cost of test properties of DNNs (such as fairness).
DOI: 10.6084/m9.figshare.24803619.v1
title: Coverage_vs._Fairness-master.zip

description: Recently, with the widespread use of deep neural networks (DNNs) in High-stakes decision-making systems (such as fraud detection and prison sentencing), concerns have arisen about the fairness of DNNs in terms of the potential negative impact they may have on individuals and society. Therefore, fairness testing has become an important research topic in DNN testing. At the same time, the neural network coverage criteria (such as criteria based on neuronal activation) is considered as an adequacy test for DNN white-box testing. It is implicitly assumed that improving the coverage can enhance the quality of test suites. Nevertheless, the correlation between DNN fairness (a test property) and coverage criteria (a test method) has not been adequately explored. To address this issue, we conducted a systematic empirical study on seven coverage criteria, six fairness metrics, three fairness testing techniques, and five bias mitigation methods on five DNN models and nine fairness datasets to assess the correlation between coverage criteria and DNN fairness. Our study achieved the following findings: 1) with the increase in the size of the test suite, some of the coverage and fairness metrics changed significantly, as the size of the test suite increased; 2) the statistical correlation between<br>coverage criteria and DNN fairness is limited; and 3) after bias mitigation for improving the fairness of DNN, the change pattern in coverage criteria is different; 4) Models debiased by different bias mitigation methods have a lower correlation between coverage and fairness compared to the original models. Our findings cast doubt on the validity of coverage criteria concerning DNN fairness (i.e., increasing the coverage may even have a negative impact on the fairness of DNNs). Therefore, we warn DNN testers against blindly pursuing higher coverage of coverage criteria at the cost of test properties of DNNs (such as fairness).
DOI: 10.25952/7keh-kd11
title: Role of local soil knowledge in sustainable agriculture and natural resources conservation. Case study

description: First, the data was gathered from 146 farmers by a household survey conducted in two communes of Nam Dong district, Thua Thien Hue province, Vietnam. Second, from the household survey’s results, the study selected 24 farmers with moderate or good LSK for key informant interviews, to explore their ways of soil assessment. Visual Soil Assessment (VSA) was then conducted independently by farmers and scientists of a field chosen by the farmers and compared with their perception of its quality. Based on early findings from interviews and VSA, two workshops in each commune were organised to examine the opportunities for exchanging LSK and relevant issues between experienced and less experienced farmers as well as scientists. To analyse all data, Excel, SPSS, Nvivo software were used.
description: First, the data was gathered from 146 farmers by a household survey conducted in two communes of Nam Dong district, Thua Thien Hue province, Vietnam. Second, from the household survey’s results, the study selected 24 farmers with moderate or good LSK for key informant interviews, to explore their ways of soil assessment. Visual Soil Assessment (VSA) was then conducted independently by farmers and scientists of a field chosen by the farmers and compared with their perception of its quality. Based on early findings from interviews and VSA, two workshops in each commune were organised to examine the opportunities for exchanging LSK and relevant issues between experienced and less experienced farmers as well as scientists. To analyse all data, Excel, SPSS, Nvivo software were used.
DOI: 10.6084/m9.figshare.24803775
title: Proteomics dataset for proteins expression level from sheep / Sham vs AF sensitive vs AF Resistant

description: Proteomics dataset for proteins expression level from sheep / Sham vs AF sensitive vs AF Resistant
DOI: 10.6084/m9.figshare.24803775.v1
title: Proteomics dataset for proteins expression level from sheep / Sham vs AF sensitive vs AF Resistant

description: Proteomics dataset for proteins expression level from sheep / Sham vs AF sensitive vs AF Resistant
DOI: 10.6082/uchicago.9794
title: Data for: State preparation in quantum algorithms for fragment-based quantum chemistry

description: State preparation for quantum algorithms is crucial for achieving high accuracy in quantum chemistry and competing with classical algorithms. The localized active space unitary coupled cluster (LAS-UCC) algorithm iteratively loads a fragment-based multireference wave function onto a quantum computer. In this study, we compare two state preparation methods, quantum phase estimation (QPE) and direct initialization (DI), for each fragment. We test the two state preparation methods on three systems, ranging from a model system, a set of interacting hydrogen molecules, to more realistic chemical problems, like the C-C double bond breaking in trans-butadiene, and the spin ladder in a bimetallic system. We analyze the impact of QPE parameters, such as the number of ancilla qubits and Trotter steps, on the prepared state. We find a
trade-off between the methods, where DI requires fewer resources for smaller fragments, while QPE is more efficient for larger fragments. Our resource estimates highlight the benefits of system fragmentation in state preparation for subsequent quantum chemical calculations. These findings have broad applications for preparing multireference quantum chemical wave functions on quantum circuits, that can be used for realistic chemical applications.
DOI: 10.5281/zenodo.7816741
title: StubCoder: Automated Generation and Repair of Stub Code for Mock Objects

description: Artifact for TOSEM submission StubCoder: Automated Generation and Repair of Stub Code for Mock Objects
DOI: 10.5281/zenodo.7816758
title: StubCoder: Automated Generation and Repair of Stub Code for Mock Objects

description: Artifact for TOSEM submission StubCoder: Automated Generation and Repair of Stub Code for Mock Objects
DOI: 10.5281/zenodo.10373535
title: BananaVision: A banana foliage and banana diseases dataset for computer vision

description: BananaVision is envisioned to provide banana foliage image data in real-life farm conditions for various computer vision tasks including classification, detection, and segmentation.  BananaVision images show whole plant structures and multiple views of a single plant within plantation environments. Currently, the dataset has 2343 images representing 700 plants, which covers healthy and diseased specimens, including those infected by Fusarium wilt, Moko, and Bunchy top.
DOI: 10.5281/zenodo.10373536
title: BananaVision: A banana foliage and banana diseases dataset for computer vision

description: BananaVision is envisioned to provide banana foliage image data in real-life farm conditions for various computer vision tasks including classification, detection, and segmentation.  BananaVision images show whole plant structures and multiple views of a single plant within plantation environments. Currently, the dataset has 2343 images representing 700 plants, which covers healthy and diseased specimens, including those infected by Fusarium wilt, Moko, and Bunchy top.
DOI: 10.6084/m9.figshare.24803694
title: Dataset for responses of soil nitrogen pools to litter input under nitrogen addition

description: In this dataset, we compiled 1263 observations from 34 field studies. This dataset includes individual litter input, individual nitrogen addition, and combined litter input and nitrogen addition, and covers multiple variables of soil nitrogen and phosphorus pools.