cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7457983
title: WE3DS: An RGB-D image dataset for semantic segmentation in agriculture

description: Here, we introduce a novel RGB-D image database (WE3DS) for semantic segmentation in crop farming. It contains 2,568 RGB-D images (color image and distance map) and hand-annotated ground-truth masks for semantic segmentation and is the first RGB-D image dataset for multi-class plant species semantic segmentation task. Images were taken under natural light conditions using an RGB-D sensor consisting of two RGB cameras in a stereo setup. <strong>Please cite the original source when using this dataset.</strong> Kitzler, F.; Barta, N.; Neugschwandtner, R.W.; Gronauer, A.; Motsch, V. WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture. <em>Sensors</em> <strong>2023</strong>, <em>23</em>, 2713. https://doi.org/10.3390/s23052713
description: The project "DiLaAg – Digitalization and Innovation Laboratory in Agricultural Sciences" was supported by the Government of Lower Austria and the private foundation Forum Morgen.
description: {"references": ["Kitzler, F.; Barta, N.; Neugschwandtner, R.W.; Gronauer, A.; Motsch, V. WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture. Sensors 2023, 23, 2713. https://doi.org/10.3390/s23052713"]}
DOI: 10.5281/zenodo.7457982
title: WE3DS: An RGB-D image dataset for semantic segmentation in agriculture

description: Here, we introduce a novel RGB-D image database (WE3DS) for semantic segmentation in crop farming. It contains 2,568 RGB-D images (color image and distance map) and hand-annotated ground-truth masks for semantic segmentation and is the first RGB-D image dataset for multi-class plant species semantic segmentation task. Images were taken under natural light conditions using an RGB-D sensor consisting of two RGB cameras in a stereo setup. <strong>Please cite the original source when using this dataset.</strong> Kitzler, F.; Barta, N.; Neugschwandtner, R.W.; Gronauer, A.; Motsch, V. WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture. <em>Sensors</em> <strong>2023</strong>, <em>23</em>, 2713. https://doi.org/10.3390/s23052713
description: The project "DiLaAg – Digitalization and Innovation Laboratory in Agricultural Sciences" was supported by the Government of Lower Austria and the private foundation Forum Morgen.
description: {"references": ["Kitzler, F.; Barta, N.; Neugschwandtner, R.W.; Gronauer, A.; Motsch, V. WE3DS: An RGB-D Image Dataset for Semantic Segmentation in Agriculture. Sensors 2023, 23, 2713. https://doi.org/10.3390/s23052713"]}
DOI: 10.5281/zenodo.6795080
title: Food initiatives in the Mexico South-southeast of Mexico

description: Food initiatives in the Mexico South-southeast of Mexico
DOI: 10.5281/zenodo.6795079
title: Food initiatives in the Mexico South-southeast of Mexico

description: Food initiatives in the Mexico South-southeast of Mexico
DOI: 10.5281/zenodo.7716713
title: The seismic data for the 2016 Menyuan earthquake

description: The waveform data and strong motion data for the 2016 Mw5.9 Menyuan earthquake. The Waveform data are provided by Earthquake Science Data Center at the Institute of Geophysics, China Earthquake Administration. The strong motion data are provided by Institute of Engineering Mechanics, China Earthquake Administration. The continuous waveform data can be requested with a preauthorized account from the Data Management Center of China Seismic Network. The strong motion data can be requested with a preauthorized account from the Institute of Engineering Mechanics, China Earthquake Administration. If you use this data for research, please re-apply to these institutions.
DOI: 10.5281/zenodo.7716712
title: The seismic data for the 2016 Menyuan earthquake

description: The waveform data and strong motion data for the 2016 Mw5.9 Menyuan earthquake. The Waveform data are provided by Earthquake Science Data Center at the Institute of Geophysics, China Earthquake Administration. The strong motion data are provided by Institute of Engineering Mechanics, China Earthquake Administration. The continuous waveform data can be requested with a preauthorized account from the Data Management Center of China Seismic Network. The strong motion data can be requested with a preauthorized account from the Institute of Engineering Mechanics, China Earthquake Administration. If you use this data for research, please re-apply to these institutions.
DOI: 10.5281/zenodo.3373585
title: Bump noise ACI data (from Varnet et al. 2019, Trends in Hearing)

description: Data collected by Leo Varnet<br> Bump noise ACI experiment (pilot experiment) See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise' (Varnet et al., 2019, Trends in Hearing)
DOI: 10.5281/zenodo.3373586
title: Bump noise ACI data (from Varnet et al. 2019, Trends in Hearing)

description: Data collected by Leo Varnet<br> Bump noise ACI experiment (pilot experiment) See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise' (Varnet et al., 2019, Trends in Hearing)
DOI: 10.5281/zenodo.7716697
title: Transcriptomic profiles of resected pancreatic adenocarcinoma, whole-slide match

description: RNA was extracted from the whole-slide tumor regions of 100 pancreatic adenocarcinomas, consecutively resected at the Beaujon hospital (Clichy, FRANCE). Tumors were sequenced in two batches, using 3' RNA-sequencing for FFPE compatibility.
DOI: 10.6084/m9.figshare.21982319
title: Supplementary Material for: Phospholipase A2 receptor antibodies and clinical prognosis in patients with idiopathic membranous nephropathy: an updated systematic review and meta-analysis

description: Background: Idiopathic membranous nephropathy (IMN) is the most common form of primary nephrotic syndrome in adults. Antibodies against the M-type phospholipase A2 receptor (PLA2R-ab) are considered as diagnostic biomarkers of IMN. Objective: Here, we performed an updated meta-analysis to assess the diagnostic value of PLA2R-ab for clinical remission in IMN patients. Method: PubMed, Embase and Cochrane databases were searched for relevant studies published before September 2022. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were determined using a fixed or random effects model. The heterogeneity among studies was explored by subgroup analysis. Results: Sixteen studies involving 1761 IMN participants were included. There were significant differences between PLA2R-ab (+) and PLA2R-ab (-) patients in terms of complete remission (CR) and spontaneous remission. The rates of partial remission (PR) and relapse were similar between the two groups. Patients with PLA2R-ab (-) were at a higher CR rate when treated with a calcineurin inhibitor or a treatment course for 3 months and 6 months, while the spontaneous remission rate was higher in PLA2R-ab seronegative patients from Asia. However, the CR and spontaneous remission rate only significantly declined in IMN patients with the highest titer, but not a middle titer, when compared to those with the lowest titer. Conclusion: In contrast to previous meta-analyses, our results verified that PLA2R-ab can likely predict CR and spontaneous remission in IMN patients, instead of PR and relapse. Race, immunosuppressive agents and duration of treatment may affect the prognostic value of PLA2R-ab. Considering that the remission rate of IMN patients with a middle level of PLA2R-ab was not different from that of patients with the lowest level, a proper cut-off value of PLA2R-ab for prognosis should be clarified.
DOI: 10.5281/zenodo.7716626
title: Global misinformation spillovers in the online vaccination debate before and during COVID-19

description: The dataset includes all the ids of the tweets analysed in the paper "Global misinformation spillovers in the online vaccination debate before and during COVID-19", divided by lang. They are all the tweets containing vaccines keywords in 18 different European languages, spanning the period October 2019 - March 2021 (excluded 2020 Jan - 2020 Jun). Note that a large fraction of the tweets can't be retrieved because of the suspension of the accounts and the removal of the posts by the users, so the study is only partially reproducible. The unzipped dataset has a dimension of 8,0G. The authors of the paper are: Lenti J, Mejova Y, Kalimeri K, Panisson A, Paolotti D, Tizzani M, Starnini M.
DOI: 10.5281/zenodo.7716625
title: Global misinformation spillovers in the online vaccination debate before and during COVID-19

description: The dataset includes all the ids of the tweets analysed in the paper "Global misinformation spillovers in the online vaccination debate before and during COVID-19", divided by lang. They are all the tweets containing vaccines keywords in 18 different European languages, spanning the period October 2019 - March 2021 (excluded 2020 Jan - 2020 Jun). Note that a large fraction of the tweets can't be retrieved because of the suspension of the accounts and the removal of the posts by the users, so the study is only partially reproducible. The unzipped dataset has a dimension of 8,0G. The authors of the paper are: Lenti J, Mejova Y, Kalimeri K, Panisson A, Paolotti D, Tizzani M, Starnini M.
DOI: 10.5281/zenodo.5571718
title: AM revcorr data

description: Data collected by Leo Varnet<br> AM revcorr experiment See description of the methods and results in "Probing temporal modulation detection in white noise using intrinsic envelope fluctuations: a reverse-correlation study” (Varnet & Lorenzi, JASA) Each individual folder correspond to a single participant. It contains 2 subfolder with the noise/target wavfiles that were presented. The presentation order, m values, and responses of the participant are located in the 'savegame.mat' file.
DOI: 10.5281/zenodo.5571719
title: AM revcorr data

description: Data collected by Leo Varnet<br> AM revcorr experiment See description of the methods and results in "Probing temporal modulation detection in white noise using intrinsic envelope fluctuations: a reverse-correlation study” (Varnet & Lorenzi, JASA) Each individual folder correspond to a single participant. It contains 2 subfolder with the noise/target wavfiles that were presented. The presentation order, m values, and responses of the participant are located in the 'savegame.mat' file.
DOI: 10.18112/openneuro.ds004513.v1.0.0
title: The energetic costs of the human connectome
DOI: 10.5281/zenodo.3373593
title: Parametric bump noise data (from Varnet et al. 2019, Trends in Hearing)

description: Data collected by Léo Varnet and Chloé Langlet<br> Parametric bump noise experiment (main experiment) See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise' (Varnet et al., 2019, Trends in Hearing)
DOI: 10.5281/zenodo.3373594
title: Parametric bump noise data (from Varnet et al. 2019, Trends in Hearing)

description: Data collected by Léo Varnet and Chloé Langlet<br> Parametric bump noise experiment (main experiment) See description of the methods and results in 'High-frequency sensorineural hearing loss alters cue-weighting strategies when discriminating stop consonants in noise' (Varnet et al., 2019, Trends in Hearing)
DOI: 10.5281/zenodo.7540795
title: Dataset: Bed Stability of Step-Pool Channels with Macrorough Sidewalls

description: The data set includes the cumulative sediment outflow data and the digital elevation model (DEM) data of flume experiments conducted at the Laboratory of Hydraulics, Hydrology, and Glaciology (VAW) at ETH Zurich.
DOI: 10.25345/c57p8tp8c
title: MassIVE MSV000091465 - 20230310_MassIVE_mzML_103_ExoMet
title: Project title: " In situ Capture and identification of exometabolites released from the sponges Aplysina cavernicola, Spongia officinalis and Agelas oroides"
DOI: 10.5281/zenodo.7716728
title: Dataset: Bed Stability of Step-Pool Channels with Macrorough Sidewalls

description: The data set includes the cumulative sediment outflow data and the digital elevation model (DEM) data of flume experiments conducted at the Laboratory of Hydraulics, Hydrology, and Glaciology (VAW) at ETH Zurich.
DOI: 10.5281/zenodo.7540794
title: Dataset: Bed Stability of Step-Pool Channels with Macrorough Sidewalls

description: The data set includes the cumulative sediment outflow data and the digital elevation model (DEM) data of flume experiments conducted at the Laboratory of Hydraulics, Hydrology, and Glaciology (VAW) at ETH Zurich.
DOI: 10.5517/ccdc.csd.cc2dk538
title: CCDC 2221029: Experimental Crystal Structure Determination

description: Related Article: Nikita Gudim|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dkhr7
title: CCDC 2221359: Experimental Crystal Structure Determination

description: Related Article: Sudhakar Reddy Guvvala|2022|CSD Communication|||
description: Related Article: G. Sudhakar Reddy, E. J. Corey|2022|Org.Lett.|25|236|doi:10.1021/acs.orglett.2c04080
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.6420845
title: Twitter Timelines of British MPs (Tweet IDs)

description: TSV file containing Twitter tweet_ids from the Timelines of 584 members of British Parliament (collected between 4th and 6th of March 2022). The users were identified from the link below: https://www.ukinbound.org/resources/list-of-mp-twitter-accounts/ If you use this dataset for an academic work, please reference the following paper: <pre>@article{tacchi2022signed, title={Signed ego network model and its application to Twitter}, author={Tacchi, Jack and Boldrini, Chiara and Passarella, Andrea and Conti, Marco}, journal={arXiv preprint arXiv:2206.15228}, year={2022} }</pre>
DOI: 10.5281/zenodo.6420844
title: Twitter Timelines of British MPs (Tweet IDs)

description: TSV file containing Twitter tweet_ids from the Timelines of 584 members of British Parliament (collected between 4th and 6th of March 2022). The users were identified from the link below: https://www.ukinbound.org/resources/list-of-mp-twitter-accounts/ If you use this dataset for an academic work, please reference the following paper: <pre>@article{tacchi2022signed, title={Signed ego network model and its application to Twitter}, author={Tacchi, Jack and Boldrini, Chiara and Passarella, Andrea and Conti, Marco}, journal={arXiv preprint arXiv:2206.15228}, year={2022} }</pre>
DOI: 10.6084/m9.figshare.22203629.v1
title: Hypotheses Testing from Complex Survey Data Using Bootstrap Weights: A Unified Approach

description: Standard statistical methods without taking proper account of the complexity of a survey design can lead to erroneous inferences when applied to survey data due to unequal selection probabilities, clustering, and other design features. In particular, the type I error rates of hypotheses tests using standard methods can be much larger than the nominal significance level. Methods incorporating design features in testing hypotheses have been proposed, including Wald tests and quasi-score tests that involve estimated covariance matrices of parameter estimates. In this paper, we present a unified approach to hypothesis testing without requiring estimated covariance matrices or design effects, by constructing bootstrap approximations to quasi-likelihood ratio statistics and quasi-score statistics and establishing its asymptotic validity. The proposed method can be easily implemented without a specific software designed for complex survey sampling. We also consider hypothesis testing for categorical data and present a bootstrap procedure for testing simple goodness of fit and independence in a two-way table. In simulation studies, the type I error rates of the proposed approach are much closer to their nominal significance level compared with the naive likelihood ratio test and quasi-score test. An application to an educational survey under a logistic regression model is also presented.
DOI: 10.25345/c53x83w34
title: MassIVE MSV000091466 - GNPS Mayotte mangrove cyanobacteria (23)
title: spectrum of the cyanobacteria strains from Mayotte
DOI: 10.6084/m9.figshare.22250617
title: Sample Metrics Data.xlsx

description: Fifteen LiDAR point-cloud derived height metrics with corresponding Aboveground biomass for 30 samples.
DOI: 10.6084/m9.figshare.22250617.v1
title: Sample Metrics Data.xlsx

description: Fifteen LiDAR point-cloud derived height metrics with corresponding Aboveground biomass for 30 samples.
DOI: 10.48420/21878937
title: EDXRF spectrometer recalibration for MXene synthesis products

description: Recalibration of PANalytical MiniPal 4 EDXRF spectrometer to retrofit data from powder Ti<sub>3</sub>C<sub>2</sub> MXene synthesis products collected using Omnian Fundamental Parameters approach
DOI: 10.48420/21878937.v2
title: EDXRF spectrometer recalibration for MXene synthesis products

description: Recalibration of PANalytical MiniPal 4 EDXRF spectrometer to retrofit data from powder Ti<sub>3</sub>C<sub>2</sub> MXene synthesis products collected using Omnian Fundamental Parameters approach
DOI: 10.48420/21878937.v3
title: EDXRF spectrometer recalibration for MXene synthesis products

description: Recalibration of PANalytical MiniPal 4 EDXRF spectrometer to retrofit data from powder Ti<sub>3</sub>C<sub>2</sub> MXene synthesis products collected using Omnian Fundamental Parameters approach
DOI: 10.6084/m9.figshare.22250536
title: Gender-specific dysregulations of undifferentially expressed biomarkers of metastatic colon cancer

description: Dataset and source codes of the mqTrans analysis (model-based quantitative measure of transcription regulation) on the metastatic colon cancers are released here.
DOI: 10.6084/m9.figshare.22250536.v1
title: Gender-specific dysregulations of undifferentially expressed biomarkers of metastatic colon cancer

description: Dataset and source codes of the mqTrans analysis (model-based quantitative measure of transcription regulation) on the metastatic colon cancers are released here.
DOI: 10.5281/zenodo.7260078
title: Umfragedaten Forschungsdatenmanagement 2022 der BUA-Einrichtungen

description: Das 2020-22 von der Berlin University Alliance (BUA) geförderte Projekt „Concept Development for Collaborative Research Data Management Services“ hat sich die Konzeptentwicklung zum nachhaltigen Aufbau von Kompetenz und Expertise zum Thema FDM für Forschende und Multiplikator*innen sowie die Stärkung von Services rund um das FDM innerhalb der BUA zum Ziel gesetzt, um bereits bestehende Ressourcen bedarfsgetrieben bestmöglich nutzbar zu machen, Parallelentwicklungen zu vermeiden und Synergieeffekte zu ermöglichen. Hierfür wurde im Zeitraum 11/2021 bis 01/2022 an den vier BUA-Einrichtungen (Freie Universität Berlin, Humboldt-Universität zu Berlin, Technische Universität Berlin, Charité – Universitätsmedizin Berlin) eine Bestands- und Bedarfserhebung zum Umgang mit Forschungsdaten durchgeführt, deren Ergebnisse als Basis für die Entwicklung bedarfsorientierter standortspezifischer und standortübergreifender Beratungs-, Schulungs-, Kommunikations- und technischer Serviceleistungen dienen. Ziel der Befragungen war es, zu ermitteln, welche Services aktuell an den jeweiligen Standorten bekannt sind und genutzt werden an allen Standorten gewünscht, aber noch nicht angeboten werden im Verbund als fruchtbar erachtet werden, um qualitätsvolle Forschung auch institutionsübergreifend zu ermöglichen.
description: Gefördert von der Berlin University Alliance, Förderkennzeichen: 501_CRDMS
description: {"references": ["Ariza de Schellenberger, Angela, Bobrov, Evgeny, Helbig, Kerstin, J\u00e4ckel, Denise, Kuberek, Monika, Orozco Prado, Lea-Sophie, Schlagberger, Elisabeth Maria, S\u00f6ring, Sibylle, & Steinke, Britta. (2022). Bestands- und Bedarfserhebung zum Forschungsdatenmanagement an den BUA-Einrichtungen (Version 1). Zenodo. https://doi.org/10.5281/zenodo.7060446", "Ariza de Schellenberger, Angela, Bobrov, Evgeny, Helbig, Kerstin, J\u00e4ckel, Denise, Kuberek, Monika, Orozco Prado, Lea-Sophie, Schlagberger, Elisabeth Maria, S\u00f6ring, Sibylle, & Steinke, Britta. (2022). Datenmanagementplan \"Concept Development for Collaborative Research Data Management Services\" (Version 1). Zenodo. https://doi.org/10.5281/zenodo.7399810"]}
DOI: 10.5281/zenodo.7260077
title: Umfragedaten Forschungsdatenmanagement 2022 der BUA-Einrichtungen

description: Das 2020-22 von der Berlin University Alliance (BUA) geförderte Projekt „Concept Development for Collaborative Research Data Management Services“ hat sich die Konzeptentwicklung zum nachhaltigen Aufbau von Kompetenz und Expertise zum Thema FDM für Forschende und Multiplikator*innen sowie die Stärkung von Services rund um das FDM innerhalb der BUA zum Ziel gesetzt, um bereits bestehende Ressourcen bedarfsgetrieben bestmöglich nutzbar zu machen, Parallelentwicklungen zu vermeiden und Synergieeffekte zu ermöglichen. Hierfür wurde im Zeitraum 11/2021 bis 01/2022 an den vier BUA-Einrichtungen (Freie Universität Berlin, Humboldt-Universität zu Berlin, Technische Universität Berlin, Charité – Universitätsmedizin Berlin) eine Bestands- und Bedarfserhebung zum Umgang mit Forschungsdaten durchgeführt, deren Ergebnisse als Basis für die Entwicklung bedarfsorientierter standortspezifischer und standortübergreifender Beratungs-, Schulungs-, Kommunikations- und technischer Serviceleistungen dienen. Ziel der Befragungen war es, zu ermitteln, welche Services aktuell an den jeweiligen Standorten bekannt sind und genutzt werden an allen Standorten gewünscht, aber noch nicht angeboten werden im Verbund als fruchtbar erachtet werden, um qualitätsvolle Forschung auch institutionsübergreifend zu ermöglichen.
description: Gefördert von der Berlin University Alliance, Förderkennzeichen: 501_CRDMS
description: {"references": ["Ariza de Schellenberger, Angela, Bobrov, Evgeny, Helbig, Kerstin, J\u00e4ckel, Denise, Kuberek, Monika, Orozco Prado, Lea-Sophie, Schlagberger, Elisabeth Maria, S\u00f6ring, Sibylle, & Steinke, Britta. (2022). Bestands- und Bedarfserhebung zum Forschungsdatenmanagement an den BUA-Einrichtungen (Version 1). Zenodo. https://doi.org/10.5281/zenodo.7060446", "Ariza de Schellenberger, Angela, Bobrov, Evgeny, Helbig, Kerstin, J\u00e4ckel, Denise, Kuberek, Monika, Orozco Prado, Lea-Sophie, Schlagberger, Elisabeth Maria, S\u00f6ring, Sibylle, & Steinke, Britta. (2022). Datenmanagementplan \"Concept Development for Collaborative Research Data Management Services\" (Version 1). Zenodo. https://doi.org/10.5281/zenodo.7399810"]}
DOI: 10.6084/m9.figshare.22237492
title: CoA tagSeq

description: CoA tagSeq for identification of CoA-capped RNAs.
DOI: 10.6084/m9.figshare.22237492.v1
title: CoA tagSeq

description: CoA tagSeq for identification of CoA-capped RNAs.
DOI: 10.5281/zenodo.7705284
title: Updated Percentiles for the University of Pennsylvania Smell Identification Test in Adults 50 Years of Age and Older

description: Tabular dataset and data dictionary associated with the manuscript "Updated Percentiles for the University of Pennsylvania Smell Identification Test in Adults 50 Years of Age and Older."
DOI: 10.5281/zenodo.7705285
title: Updated Percentiles for the University of Pennsylvania Smell Identification Test in Adults 50 Years of Age and Older

description: Tabular dataset and data dictionary associated with the manuscript "Updated Percentiles for the University of Pennsylvania Smell Identification Test in Adults 50 Years of Age and Older."