cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.14473/csda/eyfupr
title: Trendy Česka 2015–2016 – tracking volebního modelu České televize. 19. vlna (listopad 2015)

description: Trackingový výzkum Trendy Česka realizuje Česká televize ve spolupráci s agenturou Kantar CZ od roku 2014. Hlavním výstupem je volební model pro volby do Poslanecké sněmovny Parlamentu České republiky, jehož výsledky Česká televize a i jiná média pravidelně zveřejňují. Dalším výstupem jsou ad hoc tematické otázky. Stálý blok obsahuje otázky pro tvorbu volebního modelu, k hodnocení aktuální politické situace a důvěry ve vládu, a také otázky zjišťující odhodlání jít k volbám a dotazy na základní demografické charakteristiky. Blok ad hoc otázek (3-5 otázek) je sestavován ve spolupráci se zpravodajstvím ČT podle aktuální potřeby.
DOI: 10.18167/dvn1/gdnuch
title: Effect of tillage date on germination and phenology of weeds in sugarcane, at Etang Salé, Reunion Island (2017-2018)

description: Evaluation of the effect of the month of tillage along the year on the weed germination and phenology in sugarcane crop at Etang Salé, Reunion Island. 2017-2018. Experimental design, 12 dates of tillage, 2 replications, 4-6 observation dates. This Dataset covers 219 plant surveys and 73 weed species.
DOI: 10.5281/zenodo.10038335
title: PAP-QMNIST dataset

description: PAP-QMNIST - a synthetic dataset that mimics several properties of existing oral cancer (OC) dataset (described in the study [1]), such as cell image size, color distribution, arbitrary rotation of cells, amount of blur and noise, number of patients, and number of images per each patient.A main advantage of PAP-QMNIST is that it offers access to reliable ground truth annotation at the instance (cell) level incombination with being visually interpretable for non-experts. We base PAP-QMNIST on the QMNIST dataset [2], for which the object (digit) is located in the central part of the image, similarly to (the detected and cut-out) nuclei in our OC data. We rescale original QMNIST images to the size of OC images using bilinear interpolation, we add color and augment this dataset by including images transformed by transformations expected in OC data to replicate the number of patients and number of images per patient in the OC dataset. The details are in [1], and the code to create such PAP-QMNIST data is in Create_PAP_QMNISTbags_datasets2.ipynb. The uploaded PAP-QMNIST datasets (PAP5perc_key_inst.zip, PAP10perc_key_inst.zip, PAP20perc_key_inst.zip, PAP30perc_key_inst.zip are corresponding versions of PAP-QMNIST with 5, 10, 20 and 30% of key instances) are generated and analyzed during the study [1]. Names for images of key instances (images of digit '4') are starting with '4'.
To introduce variations that could be observed in real data, we design experiments with PAP-QMNIST where the percentage of key instances varies in positive bags and is sampled according to a beta distribution (commonly considered a suitable model for the random behavior of percentages and proportions) with the mean of 17.5% (the middle of the range [5-30%]) and standard deviations of 5% and 10%. These datasets are referred to as PAP_beta_mean17.5_std5.zip and PAP_beta_mean17.5_std10.zip, respectively. The code to create such PAP-QMNIST data is in Create_PAP_QMNISTbags_datasets_with_beta_distributed.ipynb.
[1] Koriakina, N., Sladoje, N., Bašić, V., & Lindblad, J. (2022). Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning. arXiv preprint arXiv:2202.01783.
[2] Yadav, C., & Bottou, L. (2019). Cold case: The lost mnist digits. Advances in neural information processing systems, 32.
DOI: 10.5281/zenodo.7020311
title: PAP-QMNIST dataset

description: PAP-QMNIST - a synthetic dataset that mimics several properties of existing oral cancer (OC) dataset (described in the study [1]), such as cell image size, color distribution, arbitrary rotation of cells, amount of blur and noise, number of patients, and number of images per each patient.A main advantage of PAP-QMNIST is that it offers access to reliable ground truth annotation at the instance (cell) level incombination with being visually interpretable for non-experts. We base PAP-QMNIST on the QMNIST dataset [2], for which the object (digit) is located in the central part of the image, similarly to (the detected and cut-out) nuclei in our OC data. We rescale original QMNIST images to the size of OC images using bilinear interpolation, we add color and augment this dataset by including images transformed by transformations expected in OC data to replicate the number of patients and number of images per patient in the OC dataset. The details are in [1], and the code to create such PAP-QMNIST data is in Create_PAP_QMNISTbags_datasets2.ipynb. The uploaded PAP-QMNIST datasets (PAP5perc_key_inst.zip, PAP10perc_key_inst.zip, PAP20perc_key_inst.zip, PAP30perc_key_inst.zip are corresponding versions of PAP-QMNIST with 5, 10, 20 and 30% of key instances) are generated and analyzed during the study [1]. Names for images of key instances (images of digit '4') are starting with '4'.
To introduce variations that could be observed in real data, we design experiments with PAP-QMNIST where the percentage of key instances varies in positive bags and is sampled according to a beta distribution (commonly considered a suitable model for the random behavior of percentages and proportions) with the mean of 17.5% (the middle of the range [5-30%]) and standard deviations of 5% and 10%. These datasets are referred to as PAP_beta_mean17.5_std5.zip and PAP_beta_mean17.5_std10.zip, respectively. The code to create such PAP-QMNIST data is in Create_PAP_QMNISTbags_datasets_with_beta_distributed.ipynb.
[1] Koriakina, N., Sladoje, N., Bašić, V., & Lindblad, J. (2022). Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning. arXiv preprint arXiv:2202.01783.
[2] Yadav, C., & Bottou, L. (2019). Cold case: The lost mnist digits. Advances in neural information processing systems, 32.
DOI: 10.5281/zenodo.7020312
title: PAP-QMNIST dataset

description: PAP-QMNIST - a synthetic dataset that mimics several properties of existing oral cancer (OC) dataset (described in the study [1]) such as cell image size, color distribution, arbitrary rotation of cells, amount of blur and noise, number of patients, and number of images per each patient.<br> A main advantage of PAP-QMNIST is that it offers access to reliable ground truth annotation at the instance (cell) level in<br> combination with being visually interpretable for non-experts. We base PAP-QMNIST on the QMNIST dataset [2], for which the object (digit) is located in the central part of the image, similarly to (the detected and cut-out) nuclei in our OC data. We rescale original QMNIST images to the size of OC images using bilinear interpolation, we add color and augment this dataset by including images transformed by transformations expected in OC data to replicate the number of patients and number of images per patient in the OC dataset. The details are in [1] and the code to create such PAP-QMNIST data is Create_PAP_QMNISTbags_datasets.ipynb. The uploaded PAP-QMNIST datasets (PAP5perc_key_inst.zip, PAP10perc_key_inst.zip, PAP20perc_key_inst.zip, PAP30perc_key_inst.zip are correspondingly versions of PAP-QMNIST with 5, 10, 20 and 30% of key instances) are generated and analyzed during the study [1]. Names for images of key instances (images of digit '4') are starting with '4'. [1] Koriakina, N., Sladoje, N., Bašić, V., & Lindblad, J. (2022). Oral cancer detection and interpretation: Deep multiple instance learning versus conventional deep single instance learning. <em>arXiv preprint arXiv:2202.01783</em>. [2] Yadav, C., & Bottou, L. (2019). Cold case: The lost mnist digits. <em>Advances in neural information processing systems</em>, <em>32</em>.
DOI: 10.18167/dvn1/ywnucg
title: Effect of cover crop, irrigation and fertilizer on weeds in sugarcane in Reunion Island (2019-2021)

description: Evaluation of the effect of the use of Canavalia ensiformis as an intercrop in sugarcane, irrigation and fertilizer (nitrogen) on weed communities in Reunion Island. PhD study of Pauline Viaud (2019-2021). This Dataset covers 40 plant surveys and 54 weed species.
DOI: 10.5281/zenodo.10040618
title: Machine Learning in the Financial Industry - 189 Articles
DOI: 10.5281/zenodo.10040617
title: Machine Learning in the Financial Industry - 189 Articles
DOI: 10.5281/zenodo.10040586
title: BreathProfiles Dataset

description: Sensors data by processing the breath samples, body vitals data, and demographics data collected from 492 patients of a nationally reputed hospital.
DOI: 10.5281/zenodo.10040585
title: BreathProfiles Dataset

description: Sensors data by processing the breath samples, body vitals data, and demographics data collected from 492 patients of a nationally reputed hospital.
DOI: 10.14473/csda/qt0dzf
title: Trendy Česka 2015–2016 – tracking volebního modelu České televize. 20. vlna (leden 2016)

description: Trackingový výzkum Trendy Česka realizuje Česká televize ve spolupráci s agenturou Kantar CZ od roku 2014. Hlavním výstupem je volební model pro volby do Poslanecké sněmovny Parlamentu České republiky, jehož výsledky Česká televize a i jiná média pravidelně zveřejňují. Dalším výstupem jsou ad hoc tematické otázky. Stálý blok obsahuje otázky pro tvorbu volebního modelu, k hodnocení aktuální politické situace a důvěry ve vládu, a také otázky zjišťující odhodlání jít k volbám a dotazy na základní demografické charakteristiky. Blok ad hoc otázek (3-5 otázek) je sestavován ve spolupráci se zpravodajstvím ČT podle aktuální potřeby.
DOI: 10.5281/zenodo.10029459
title: CS3 Experiment 7  Abalone growth in a Land Based IMTA system on commercial feeds incorporating biosecure IMTA grown algae

description: CS3 Experiment 7  Abalone growth in a Land Based IMTA system on commercial feeds incorporating biosecure IMTA grown algae
DOI: 10.5281/zenodo.10029458
title: CS3 Experiment 7  Abalone growth in a Land Based IMTA system on commercial feeds incorporating biosecure IMTA grown algae

description: CS3 Experiment 7  Abalone growth in a Land Based IMTA system on commercial feeds incorporating biosecure IMTA grown algae
DOI: 10.5281/zenodo.10029367
title: CS3 Experiment 5  Growth of ulva when integrating sea cucumber  (Neostichopus grammatus) with abalone (Haliotis midae) in a  land based IMTA system

description: CS3 Experiment 5  Growth of ulva when integrating sea cucumber  (Neostichopus grammatus) with abalone (Haliotis midae) in a  land based IMTA system
DOI: 10.5281/zenodo.10029368
title: CS3 Experiment 5  Growth of ulva when integrating sea cucumber  (Neostichopus grammatus) with abalone (Haliotis midae) in a  land based IMTA system

description: CS3 Experiment 5  Growth of ulva when integrating sea cucumber  (Neostichopus grammatus) with abalone (Haliotis midae) in a  land based IMTA system
DOI: 10.5281/zenodo.10037293
title: Model simulation data used in "The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 2: Aviation" (Righi et al., Atmos. Chem. Phys., 2016)

description: This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (Atmos. Chem. Phys., 2016). For details see the README.md file.
DOI: 10.5281/zenodo.10029515
title: CS3 WP6 Environmental performance of land based IMTA at  WiCoAb

description: Carbon, nitrogen and phosphorus levels in ulva and water quality of land based monoculture and IMTA production on a commercial-scale farm.
DOI: 10.5281/zenodo.10037292
title: Model simulation data used in "The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 2: Aviation" (Righi et al., Atmos. Chem. Phys., 2016)

description: This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (Atmos. Chem. Phys., 2016). For details see the README.md file.
DOI: 10.5281/zenodo.10037291
title: Model simulation data used in "The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 1: Land transport and shipping" (Righi et al., Atmos. Chem. Phys., 2015)

description: This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (Atmos. Chem. Phys., 2015). For details see the README.md file.
DOI: 10.5281/zenodo.10037290
title: Model simulation data used in "The global impact of the transport sectors on atmospheric aerosol in 2030 – Part 1: Land transport and shipping" (Righi et al., Atmos. Chem. Phys., 2015)

description: This dataset contains the output of the EMAC global model simulations analysed and discussed in Righi et al. (Atmos. Chem. Phys., 2015). For details see the README.md file.
DOI: 10.5281/zenodo.10029514
title: CS3 WP6 Environmental performance of land based IMTA at  WiCoAb

description: Carbon, nitrogen and phosphorus levels in ulva and water quality of land based monoculture and IMTA production on a commercial-scale farm.
DOI: 10.5281/zenodo.10029505
title: CS3 Experiment 8 IMTA grow product analysis

description: CS3 Experiment 8 IMTA grow product analysis - proximate analysis of Ulva and abalone grown in land based IMTA.
DOI: 10.5281/zenodo.10039834
title: AdFlush Dataset

description: AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention
DOI: 10.5281/zenodo.10029504
title: CS3 Experiment 8 IMTA grow product analysis

description: CS3 Experiment 8 IMTA grow product analysis - proximate analysis of Ulva and abalone grown in land based IMTA.
DOI: 10.5281/zenodo.10039833
title: AdFlush Dataset

description: AdFlush: A Real-World Deployable Machine Learning Solution for Effective Advertisement and Web Tracker Prevention
DOI: 10.5281/zenodo.7579717
title: Technical Debt in 55 Million files

description: A very large-scale study on the Technical Debt of more than 55 million open-source Java files.
DOI: 10.5281/zenodo.10039872
title: Supplementary Data for "Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data"

description: This data set represents the supplementary data for the paper Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data (Section 4) by Florian Beiser, Håvard Heitlo Holm, and Jo Eidsvik.
It contains the data that is plotted in the manuscript. The code for plotting is provided in the supplementary software.
DOI: 10.5281/zenodo.10039871
title: Supplementary Data for "Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data"

description: This data set represents the supplementary data for the paper Comparison of Ensemble-Based Data Assimilation Methods for Sparse Oceanographic Data (Section 4) by Florian Beiser, Håvard Heitlo Holm, and Jo Eidsvik.
It contains the data that is plotted in the manuscript. The code for plotting is provided in the supplementary software.
DOI: 10.5281/zenodo.10034580
title: Survey to help identify whether Octopus might help researchers produce high quality, open research

description: Survey to help identify whether Octopus might help researchers produce high quality, open research
In order to complement in-depth, but necessarily small sample size, interviews, an online survey allowed us to reach a broader population to gain some quantitative data on the current research culture and barriers to best practice, as well as whether the Octopus platform might help overcome them.
The finalised survey was implemented on EUSurvey. It is a fully open source online survey platform developed and administered by the European Commission, adhering to relevant privacy regulations (e.g. the General Data Protection Regulation (GDPR)).
The survey was open from 17 January to 5 February 2023.
Details on the implementation of this survey is published on Octopus.
DOI: 10.5281/zenodo.10036137
title: MALDI-IMS files of 53 experiments over sections of nevus, primary melanoma and melanoma metastasis in imzml format

description: MALDI-IMS files of 53 experiments over sections of nevus, primary melanoma and melanoma metastasis in imzml format. The experiments were recorded in negative-ion mode with a MALDI LTQ-orbitrap XL (ThermoFisher) at 25 um/pixel of spatial resolution. We also uploaded three .ppt with a comparison between the eosin-hematoxilin images, the IHC (MelanA and HMB45) and the segmentation images
DOI: 10.5281/zenodo.10036138
title: MALDI-IMS files of 53 experiments over sections of nevus, primary melanoma and melanoma metastasis in imzml format

description: MALDI-IMS files of 53 experiments over sections of nevus, primary melanoma and melanoma metastasis in imzml format. The experiments were recorded in negative-ion mode with a MALDI LTQ-orbitrap XL (ThermoFisher) at 25 um/pixel of spatial resolution. We also uploaded three .ppt with a comparison between the eosin-hematoxilin images, the IHC (MelanA and HMB45) and the segmentation images
DOI: 10.14473/csda/ef3npi
title: Trendy Česka 2015–2016 – tracking volebního modelu České televize. 21. vlna (únor 2016)

description: Trackingový výzkum Trendy Česka realizuje Česká televize ve spolupráci s agenturou Kantar CZ od roku 2014. Hlavním výstupem je volební model pro volby do Poslanecké sněmovny Parlamentu České republiky, jehož výsledky Česká televize a i jiná média pravidelně zveřejňují. Dalším výstupem jsou ad hoc tematické otázky. Stálý blok obsahuje otázky pro tvorbu volebního modelu, k hodnocení aktuální politické situace a důvěry ve vládu, a také otázky zjišťující odhodlání jít k volbám a dotazy na základní demografické charakteristiky. Blok ad hoc otázek (3-5 otázek) je sestavován ve spolupráci se zpravodajstvím ČT podle aktuální potřeby.
DOI: 10.5519/qd.e3am1y1s
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3 records)
DOI: 10.18167/dvn1/w29ggt
title: Cover plant growth response to different sowing dates in Reunion

description: In the current study, we aimed to assess the cover plant growth response to sowing date of 16 different plant species in the north of Reunion island. The files in the dataset included: - "Trial and species description" : description of the trials and cover plant species - "DATARAW" files: raw measurements of plant coverage, height, number of leaves, phenology and biomass performed in the different trials. - "DATA_calculated": provides trait variables calculated from the raw measurements per species and trials
DOI: 10.14473/csda/fmroap
title: Trendy Česka 2015–2016 – tracking volebního modelu České televize. 22. vlna (březen 2016)

description: Trackingový výzkum Trendy Česka realizuje Česká televize ve spolupráci s agenturou Kantar CZ od roku 2014. Hlavním výstupem je volební model pro volby do Poslanecké sněmovny Parlamentu České republiky, jehož výsledky Česká televize a i jiná média pravidelně zveřejňují. Dalším výstupem jsou ad hoc tematické otázky. Stálý blok obsahuje otázky pro tvorbu volebního modelu, k hodnocení aktuální politické situace a důvěry ve vládu, a také otázky zjišťující odhodlání jít k volbám a dotazy na základní demografické charakteristiky. Blok ad hoc otázek (3-5 otázek) je sestavován ve spolupráci se zpravodajstvím ČT podle aktuální potřeby.
DOI: 10.18167/dvn1/gq8dpl
title: LEAP4FNSSA (WP3 - KMS): Terminology for KEOPS

description: In order to highlight terminology to integrate in the LEAP4FNSSA KMS (Knowledge Management System) called KEOPS (Knowledge ExtractOr Pipeline System), a dedicated terminology to the LEAP4FNSSA project has been extracted with a text-mining tool (BioTex) from a corpus dealing with Food and Nutrition Security and Sustainable Agriculture (i‧e. abstracts of projects). Different ranking measures of the text-mining tool have been used for selecting terms: All (all terms) with C-Value, All with F_TFIDF_C, Multi (multi-word terms) with C-Value, Multi with F-TFIDF-C.
DOI: 10.14473/csda/u9lgcv
title: Trendy Česka 2015–2016 – tracking volebního modelu České televize. 23. vlna (duben 2016)

description: Trackingový výzkum Trendy Česka realizuje Česká televize ve spolupráci s agenturou Kantar CZ od roku 2014. Hlavním výstupem je volební model pro volby do Poslanecké sněmovny Parlamentu České republiky, jehož výsledky Česká televize a i jiná média pravidelně zveřejňují. Dalším výstupem jsou ad hoc tematické otázky. Stálý blok obsahuje otázky pro tvorbu volebního modelu, k hodnocení aktuální politické situace a důvěry ve vládu, a také otázky zjišťující odhodlání jít k volbám a dotazy na základní demografické charakteristiky. Blok ad hoc otázek (3-5 otázek) je sestavován ve spolupráci se zpravodajstvím ČT podle aktuální potřeby.
DOI: 10.18167/dvn1/khaebg
title: A Reference Weed Flora of the 30 tropical weed studies datasets

description: Reference list of weed species used in the 30 datasets of the Tropical Weed Studies Dataverse. This list currently contains 1788 taxa. All species are listed with their EPPO code (used in the floristic data files of the datasets), Scientific name, Family name, and the most used scientific synonym names. EPPO codes are from EPPO GD (https://gd.eppo.int/) or new when not present in EPPO GD an under validation. Scientific names are updated according to Plant of World Online (http://www.plantsoftheworldonline.org/) and Catalogue of Life 2020-02-24 check list (https://www.catalogueoflife.org/col/).
DOI: 10.18167/dvn1/mdp0h5
title: Weed survey in upland rice in Northern Viet Nam (1999)

description: Characterization of weed communities in rain-fed crops on slopes (rice, corn) in the context of the use of cover plants. Northern Viet Nam, Bac Kan Province, Ban Cuon Valley. Study by phytoecological surveys with abundance scale. This dataset covers 363 plant surveys for 113 weed species.
DOI: 10.18167/dvn1/ofzeh1
title: Weed survey in herbicide experiments in sugarcane in Reunion Island (2005-2016)

description: Evaluation of the average of abundance of weed species in control plots of sugar cane herbicide experimentations in Reunion island, from 2005 to 2016, in different agroecological conditions. This dataset covers 108 plant surveys for 179 weed species.
DOI: 10.18167/dvn1/uahmej
title: Weed survey in various cropping systems in the Reunion Island (2003-2006)

description: Characterization of weed communities of different cropping systems (sugarcane, pineapple, lentil, vegetables, pastures) in Reunion island from 2003 to 2006. Abundance scale notation 1-9. This dataset covers 566 plant surveys for 278 weed species.
DOI: 10.18167/dvn1/vbe4vt
title: Weed survey in vegetable growing in Mauritius (2019)

description: Characterization of weed communities of vegetable crops in Mauritius in 2019 within the framework of the Smart Agriculture Project. Abundance scale notation 1-9. This dataset covers 82 plant surveys for 206 weed species.
DOI: 10.6084/m9.figshare.14743452
title: Regional variation in lateral and medial gastrocnemius muscle fibre lengths obtained from diffusion tensor imaging; Raw MRI and DTI data

description: This file contains the <strong>raw dataset of MRI (+ segmentations) and DTI scans peformed on human lower legs</strong>, more specifically to allow for analyses of muscle shape and muscle architecture of the medial and lateral gastrocnemius. Additional information can be found in the ReadMe file. These files accompany the manuscript: <br> <em>Regional variation in lateral and medial gastrocnemius muscle fibre lengths obtained from diffusion tensor imaging</em>
DOI: 10.6084/m9.figshare.14743452.v2
title: Regional variation in lateral and medial gastrocnemius muscle fibre lengths obtained from diffusion tensor imaging; Raw MRI and DTI data

description: This file contains the <strong>raw dataset of MRI (+ segmentations) and DTI scans peformed on human lower legs</strong>, more specifically to allow for analyses of muscle shape and muscle architecture of the medial and lateral gastrocnemius. Additional information can be found in the ReadMe file. These files accompany the manuscript: <br> <em>Regional variation in lateral and medial gastrocnemius muscle fibre lengths obtained from diffusion tensor imaging</em>