cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.8413584
title: COALA voice data and transcripts Dutch

description: This dataset contains audio files and transcripts in Dutch and related to manufacturing. We collected the scripts during the Horizon Europe RIA COALA (GA 957296, project reference website) from industrial use cases and hired a service provider to generate the related audio files (BIBA - Bremer Institut für Produktion und Logistik GmbH ordered the service). The service provider checked the audio files for quality. The service provider recruited crowd workers, and gathered their audio records, informed consent (privacy) and agreement that their records become public domain (Creative Commons 0; https://creativecommons.org/share-your-work/public-domain/cc0/). The service provider declared to follow a Crowd Code of Ethics and a Fair Pay policy. The metadata file contains the following information: <strong>file_name</strong>: name of the audio file <strong>script</strong>: script the speaker had to speak <strong>scriptId</strong>: the numeric identifier of the script <strong>participantId</strong>: the numeric identifier of the participant (speaker) <strong>gender</strong>: the gender as indicated by the participant (MALE or FEMALE) <strong>age</strong>: the age in years as indicated by the participant <strong>age_range</strong>: the age range in years (18-30, 31-45, 46+) <strong>country</strong>: the birth country indicated by the participant <strong>current_country</strong>: the country of residence indicated by the participant <strong>primary_language</strong>: the language indicated as primary by the participant <strong>ever_worked_factory</strong>: answer to the question: "Have you ever worked in a factory, manufacturing setting?" (Yes/No) <strong>years_worked_factory</strong>: answer to the question: "If yes, for how many years?" (1-10, 10+) <strong>background_noise_type</strong>: background noise in the audio as indicated by the participant (mild, humming/technical, no noise) <strong>gdpr_and_ipr_consent</strong>: answer to the privacy notice and the ipr transfer to CC-0 (Yes) <strong>date_signed</strong>: date when the participant signed the consent form (US format, MM.DD.YYYY)
description: Feedback should be directed to info@coala-h2020.eu.
DOI: 10.5281/zenodo.8413583
title: COALA voice data and transcripts Dutch

description: This dataset contains audio files and transcripts in Dutch and related to manufacturing. We collected the scripts during the Horizon Europe RIA COALA (GA 957296, project reference website) from industrial use cases and hired a service provider to generate the related audio files (BIBA - Bremer Institut für Produktion und Logistik GmbH ordered the service). The service provider checked the audio files for quality. The service provider recruited crowd workers, and gathered their audio records, informed consent (privacy) and agreement that their records become public domain (Creative Commons 0; https://creativecommons.org/share-your-work/public-domain/cc0/). The service provider declared to follow a Crowd Code of Ethics and a Fair Pay policy. The metadata file contains the following information: <strong>file_name</strong>: name of the audio file <strong>script</strong>: script the speaker had to speak <strong>scriptId</strong>: the numeric identifier of the script <strong>participantId</strong>: the numeric identifier of the participant (speaker) <strong>gender</strong>: the gender as indicated by the participant (MALE or FEMALE) <strong>age</strong>: the age in years as indicated by the participant <strong>age_range</strong>: the age range in years (18-30, 31-45, 46+) <strong>country</strong>: the birth country indicated by the participant <strong>current_country</strong>: the country of residence indicated by the participant <strong>primary_language</strong>: the language indicated as primary by the participant <strong>ever_worked_factory</strong>: answer to the question: "Have you ever worked in a factory, manufacturing setting?" (Yes/No) <strong>years_worked_factory</strong>: answer to the question: "If yes, for how many years?" (1-10, 10+) <strong>background_noise_type</strong>: background noise in the audio as indicated by the participant (mild, humming/technical, no noise) <strong>gdpr_and_ipr_consent</strong>: answer to the privacy notice and the ipr transfer to CC-0 (Yes) <strong>date_signed</strong>: date when the participant signed the consent form (US format, MM.DD.YYYY)
description: Feedback should be directed to info@coala-h2020.eu.
DOI: 10.21227/64gn-r361
title: DNLL dataset

description: The Numerical Latin Letters (DNLL) dataset comprises Latin numeric letters, organized into 26 distinct letter classes corresponding to the Latin alphabet. Within this dataset, each class encompasses multiple letter forms, resulting in a diverse and extensive collection. These letters vary in terms of color, size, writing style, thickness, background, orientation, luminosity, and other attributes, rendering the dataset highly comprehensive and rich.DNLL exclusively includes isolated letters, and it is divided into three essential files: training, testing, and validation. This division not only facilitates text detection and recognition tasks but also ensures robust and accurate results. The dataset is distributed as follows: the training set comprises 80% of the total images, while the remaining images are split between the testing set (80% of the remaining images) and the validation set (20% of the remaining images).In the processing stage, the images and data undergo enhancement and augmentation procedures to further enrich the dataset and optimize its quality.
DOI: 10.6084/m9.figshare.24259462
title: Supplementary data

description: Supplementary data
DOI: 10.6084/m9.figshare.24259462.v1
title: Supplementary data

description: Supplementary data
DOI: 10.21227/960a-x684
title: EEG Data Acquisition Using the Muse Device: Meditation and Rest Stages of Participants

description: EEG Data Acquisition Using the Muse Device: Meditation and Rest Stages of Participants This study aimed to investigate electroencephalogram (EEG) patterns during meditation to gain insights into the distinctions among practitioners with differing levels of experience. We analyzed EEG data from a cohort of seven participants with a unique background in Vipassana meditation, in order to discern how disparities in experience levels manifest in their neural activity. Participants were categorized into three groups based on their meditation experience: novices with less than 500 hours of meditation practice, experienced practitioners with over 500 hours of practice who meditated regularly on a daily basis, and monks who had been ordained for a minimum of 10 years and adhered to rigorous meditation routines.
DOI: 10.4121/da9def43-6a73-461a-adb3-9463823c9f10.v1
title: Performance survey of published class-D amplifiers

description: Performance summary of class-D amplifiers published in IEEE Journal of Solid-State Circuits (JSSC), IEEE Transactions on Power Electronics (TPE), International Solid-State Circuits Conference (ISSCC), IEEE Transactions on Very Large Scale Integration (VLSI) Systems, European Conference on Solid-State Circuits (ESSCIRC), IEEE Custom Integrated Circuits Conference (CICC), IEEE International Symposium on Circuits and Systems (ISCAS) and Audio Engineering Society (AES) since 2003.
DOI: 10.4121/f6b6ec98-e5b1-4c34-90dc-f78240d069de.v1
title: Data underlying the study of Clinical application of optical and electromagnetic navigation system in CT-guided radiofrequency ablation of lung metastases

description: Selected patients with pulmonary metastatic lesions (85 males and 2021 females, aged between 2022.60-0 years) who underwent optical navigation, electromagnetic navigation and non-navigation CT-guided RFA in our hospital from 2022 to 2024. ). The median age was 28.14 years. All patients underwent pathological diagnosis of primary lesions or puncture pathology diagnosis of lung lesions, and some patients also underwent puncture biopsy to confirm the molecular pathology of lung lesions. Distribution of primary tumors: 8 cases of colorectal cancer, 7 cases of hepatocellular carcinoma, 5 cases of intrapulmonary metastasis to lung cancer, 2 cases of salivary gland tumors, 2 cases of renal cell carcinoma, 1 case of endometrial cancer, 1 case of thyroid cancer, breast cancer 1 case, 1 case of thymoma, 1 case of osteosarcoma, and 93 cases of cerebral perivascular cell tumors. (Details of lesion sites are shown in Table 3. All 2 lesions were ≤&lt;&gt;cm in diameter. Patient inclusion and exclusion criteria are shown in Table&lt;&gt;. Prior to treatment, written informed consent was obtained from patients and/or relatives, as appropriate.<br>选取70年46月至24年16月在我院行光学导航、电磁导航和非导航CT引导RFA的肺转移性病变患者0例（男85例，女2021例，年龄在2022.60-0岁之间）。中位年龄为28.14岁。所有患者均行原发病变病理诊断或肺部病变穿刺病理诊断，部分患者同时行穿刺活检，确认肺部病变的分子病理。原发性肿瘤分布：结直肠癌8例，肝细胞癌7例，肺内转移肺癌5例，唾液腺肿瘤2例，肾细胞癌2例，子宫内膜癌1例，甲状腺癌1例，乳腺癌1例，胸腺瘤1例，骨肉瘤1例， 脑血管周围细胞肿瘤93例。（病变部位详见表3。所有2个病变的直径均为≤&lt;&gt;cm。患者纳入和排除标准如表&lt;&gt;所示。在治疗之前，酌情获得患者和/或亲属的书面知情同意。<br><br>
DOI: 10.6084/m9.figshare.22336795
title: Data from "Mapping socio-environmental pressures to assess Portuguese soil vulnerability"

description: Data from "Mapping socio-environmental pressures to assess Portuguese soil vulnerability"
DOI: 10.6084/m9.figshare.22336795.v1
title: Data from "Mapping socio-environmental pressures to assess Portuguese soil vulnerability"

description: Data from "Mapping socio-environmental pressures to assess Portuguese soil vulnerability"
DOI: 10.5281/zenodo.8413269
title: Swedish Diachronic Corpus - User-generated Data - Wikipedia

description: The Swedish Diachronic Corpus (https://www2.lingfil.uu.se/person/pettersson/svediakorp/) is a project funded by Swe-Clarin (https://sweclarin.se/eng). The purpose of the project is to provide a corpus of texts covering the time period from Old Swedish to present day, with a wide variety of text types and freely available for download and search. The texts are provided in a plain text format and in a uniform CoNLL format, with placeholders for linguistic annotation. The dataset provided here is the Swedish Wikipedia section of the User-generated Data in the Swedish Diachronic Corpus. For other datasets within the corpus, see further the corpus website: https://www2.lingfil.uu.se/person/pettersson/svediakorp/. The project members are Eva Pettersson (Uppsala University) and Lars Borin (University of Gothenburg). For questions or comments, or if you are aware of any corpus resource that could be included in the Swedish Diachronic Corpus, don't hesitate to contact us!<br> <br> Eva Pettersson Department of Linguistics and Philology, Uppsala University eva.pettersson@lingfil.uu.se<br> Lars Borin Department of Swedish, University of Gothenburg lars.borin@svenska.gu.se
DOI: 10.5281/zenodo.8413268
title: Swedish Diachronic Corpus - User-generated Data - Wikipedia

description: The Swedish Diachronic Corpus (https://www2.lingfil.uu.se/person/pettersson/svediakorp/) is a project funded by Swe-Clarin (https://sweclarin.se/eng). The purpose of the project is to provide a corpus of texts covering the time period from Old Swedish to present day, with a wide variety of text types and freely available for download and search. The texts are provided in a plain text format and in a uniform CoNLL format, with placeholders for linguistic annotation. The dataset provided here is the Swedish Wikipedia section of the User-generated Data in the Swedish Diachronic Corpus. For other datasets within the corpus, see further the corpus website: https://www2.lingfil.uu.se/person/pettersson/svediakorp/. The project members are Eva Pettersson (Uppsala University) and Lars Borin (University of Gothenburg). For questions or comments, or if you are aware of any corpus resource that could be included in the Swedish Diachronic Corpus, don't hesitate to contact us!<br> <br> Eva Pettersson Department of Linguistics and Philology, Uppsala University eva.pettersson@lingfil.uu.se<br> Lars Borin Department of Swedish, University of Gothenburg lars.borin@svenska.gu.se
DOI: 10.6084/m9.figshare.24259852
title: Pink bollworm insecticide resistance

description: Pink bollworm insecticide resistance
DOI: 10.6084/m9.figshare.24259852.v1
title: Pink bollworm insecticide resistance

description: Pink bollworm insecticide resistance
DOI: 10.4121/688363cc-8c79-439f-bb0e-fe5d0deb3161
title: Landelijk Grondgebruik Nederland 2022 (LGN2022)

description: LGN2022 is a grid file that shows Dutch land use in 2022 with a spatial resolution of 5m. The legendconsists of 51 land use classes and is comarable with LGN2021. However, some LGN classes changed theirdefinition slightly due to adaptations in the production methodology.<br>LGN2022 is distinguishing the main agricultural crops, forest, water, nature and urban classes. LGN2022 is acontinuation of the LGN2021. Some small modifications were made. The most important ones are:- Use of OSM and Top10NL for mapping solar parks- Introduction of small linear water elements- Subdivision of BNL class 200 'Overig grondgebruik' into 200, 220 'Basaltblokken en steenglooiingen and 230'bebouwd gebied'- Introduction of MRT rules for new nature areas- New dataset 'Agrarisch Natuur- en Landschapsbeheer (ANLb 030 verantwoordingsaanvraag (versie februari 2023)'to define 'Natuurlijk beheerde agrarische graslanden'.- New way to produce the LGN classes 251, 252 and 252.<br>See also 'Factsheet productie LGN2022' for more details.<br>The following files were used to create LGN2022: Top10NL (version February 2023), Basis Registratie Percelen2022 (BRP2022), Basiskaart Natuur en Landschap 2022 (BNL2022), Basisregistratie Adressen en Gebouwen (BAG May2023), Open Streetmap (OSM January 2023), Bestand BodemGebruik 2017 (BBG2017), Beheertypen IMNA (February2023), Agrarisch Natuur- en Landschapsbeheer (ANLb 030 verantwoordingsaanvraag (versie februari 2023)) andLGN2021 for the nature areas.<br>The dataset is public since September 2023 which is made possible by WOT Natuur & Milieu, Het Waterschapshuis,Interprovinciaal Overleg, RIVM and Wageningen Environmental Research.
DOI: 10.4121/688363cc-8c79-439f-bb0e-fe5d0deb3161.v1
title: Landelijk Grondgebruik Nederland 2022 (LGN2022)

description: LGN2022 is a grid file that shows Dutch land use in 2022 with a spatial resolution of 5m. The legendconsists of 51 land use classes and is comarable with LGN2021. However, some LGN classes changed theirdefinition slightly due to adaptations in the production methodology.<br>LGN2022 is distinguishing the main agricultural crops, forest, water, nature and urban classes. LGN2022 is acontinuation of the LGN2021. Some small modifications were made. The most important ones are:- Use of OSM and Top10NL for mapping solar parks- Introduction of small linear water elements- Subdivision of BNL class 200 'Overig grondgebruik' into 200, 220 'Basaltblokken en steenglooiingen and 230'bebouwd gebied'- Introduction of MRT rules for new nature areas- New dataset 'Agrarisch Natuur- en Landschapsbeheer (ANLb 030 verantwoordingsaanvraag (versie februari 2023)'to define 'Natuurlijk beheerde agrarische graslanden'.- New way to produce the LGN classes 251, 252 and 252.<br>See also 'Factsheet productie LGN2022' for more details.<br>The following files were used to create LGN2022: Top10NL (version February 2023), Basis Registratie Percelen2022 (BRP2022), Basiskaart Natuur en Landschap 2022 (BNL2022), Basisregistratie Adressen en Gebouwen (BAG May2023), Open Streetmap (OSM January 2023), Bestand BodemGebruik 2017 (BBG2017), Beheertypen IMNA (February2023), Agrarisch Natuur- en Landschapsbeheer (ANLb 030 verantwoordingsaanvraag (versie februari 2023)) andLGN2021 for the nature areas.<br>The dataset is public since September 2023 which is made possible by WOT Natuur & Milieu, Het Waterschapshuis,Interprovinciaal Overleg, RIVM and Wageningen Environmental Research.
DOI: 10.5281/zenodo.8413934
title: Integrated and Annotated Single Cell Object

description: Integrated and annotated Seurat object created with the following script: https://doi.org/10.5281/zenodo.8413883<br> using the following studies: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162577 <br> https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE142016<br> https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE135779
DOI: 10.5281/zenodo.8413933
title: Integrated and Annotated Single Cell Object

description: Integrated and annotated Seurat object created with the following script: https://doi.org/10.5281/zenodo.8413883<br> using the following studies: https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE162577 <br> https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE142016<br> https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE135779
DOI: 10.5281/zenodo.8405466
title: Swedish Diachronic Corpus - User-generated Data - Flashback

description: The Swedish Diachronic Corpus (https://www2.lingfil.uu.se/person/pettersson/svediakorp/) is a project funded by Swe-Clarin (https://sweclarin.se/eng). The purpose of the project is to provide a corpus of texts covering the time period from Old Swedish to present day, with a wide variety of text types and freely available for download and search. The texts are provided in a plain text format and in a uniform CoNLL format, with placeholders for linguistic annotation. The dataset provided here is the Flashback section of the User-generated Data in the Swedish Diachronic Corpus. For other datasets within the corpus, see further the corpus website: https://www2.lingfil.uu.se/person/pettersson/svediakorp/. The project members are Eva Pettersson (Uppsala University) and Lars Borin (University of Gothenburg). For questions or comments, or if you are aware of any corpus resource that could be included in the Swedish Diachronic Corpus, don't hesitate to contact us!<br> <br> Eva Pettersson Department of Linguistics and Philology, Uppsala University eva.pettersson@lingfil.uu.se<br> Lars Borin Department of Swedish, University of Gothenburg lars.borin@svenska.gu.se
DOI: 10.5281/zenodo.8405465
title: Swedish Diachronic Corpus - User-generated Data - Flashback

description: The Swedish Diachronic Corpus (https://www2.lingfil.uu.se/person/pettersson/svediakorp/) is a project funded by Swe-Clarin (https://sweclarin.se/eng). The purpose of the project is to provide a corpus of texts covering the time period from Old Swedish to present day, with a wide variety of text types and freely available for download and search. The texts are provided in a plain text format and in a uniform CoNLL format, with placeholders for linguistic annotation. The dataset provided here is the Flashback section of the User-generated Data in the Swedish Diachronic Corpus. For other datasets within the corpus, see further the corpus website: https://www2.lingfil.uu.se/person/pettersson/svediakorp/. The project members are Eva Pettersson (Uppsala University) and Lars Borin (University of Gothenburg). For questions or comments, or if you are aware of any corpus resource that could be included in the Swedish Diachronic Corpus, don't hesitate to contact us!<br> <br> Eva Pettersson Department of Linguistics and Philology, Uppsala University eva.pettersson@lingfil.uu.se<br> Lars Borin Department of Swedish, University of Gothenburg lars.borin@svenska.gu.se
DOI: 10.5281/zenodo.8413938
title: Identification of novel NLRP3 Inhibitors a comprehensive approach using 2D-QSAR, molecular docking, molecular dynamics simulation and drug-likeness evaluation

description: This dataset encapsulates the comprehensive outputs derived from molecular docking and molecular dynamics (MD) simulation studies conducted to investigate the binding affinities, interactions, and dynamic behaviors of selected ligands with NLRP3.
DOI: 10.5281/zenodo.8413937
title: Identification of novel NLRP3 Inhibitors a comprehensive approach using 2D-QSAR, molecular docking, molecular dynamics simulation and drug-likeness evaluation

description: This dataset encapsulates the comprehensive outputs derived from molecular docking and molecular dynamics (MD) simulation studies conducted to investigate the binding affinities, interactions, and dynamic behaviors of selected ligands with NLRP3.
DOI: 10.5258/soton/d2803
title: Dataset supporting the University of Southampton Doctoral thesis 'Eosinophilic Inflammation in Chronic Obstructive Pulmonary Disease'

description: Dataset supporting the University of Southampton Doctoral thesis 'Eosinophilic Inflammation in Chronic Obstructive Pulmonary Disease'. This data consists of area of FITC and CY5 signal calculated from microscopy scans, which is presented as an excel workbook titled "MICA II_cellspermm2 calculations", consisting of 4 sheets; EG2 Image Analysis, IL5R Image Analysis, EG2 cells_mm2 and IL5R cells-mm2. No special software is needed to view the data.
DOI: 10.6084/m9.figshare.22657477
title: W chromosome sequences of two bombycid moths provide an insight into the origin of <i>Fem</i>.

description: This Dataset includes the analysis data used in the paper "W chromosome sequences of two bombycid moths provide an insight into the origin of <i>Fem</i>."
DOI: 10.6084/m9.figshare.22657477.v2
title: W chromosome sequences of two bombycid moths provide an insight into the origin of Fem.

description: This Dataset includes the analysis data used in the paper "W chromosome sequences of two bombycid moths provide an insight into the origin of Fem."
DOI: 10.5281/zenodo.7754768
title: The MPEblink dataset

description: MPEblink is the first dataset for multi-person eyeblink detection in untrimmed in-the-wild videos. The data is released for non-commercial research purposes only. For any questions, please contact {wenzhengzeng, Yang_Xiao}@hust.edu.cn. If you find this dataset useful in your research, please consider to cite our paper: <pre>@inproceedings{zeng2023real, title={Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video}, author={Zeng, Wenzheng and Xiao, Yang and Wei, Sicheng and Gan, Jinfang and Zhang, Xintao and Cao, Zhiguo and Fang, Zhiwen and Zhou, Joey Tianyi}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={13854--13863}, year={2023} }</pre>
DOI: 10.5281/zenodo.7754767
title: The MPEblink dataset

description: MPEblink is the first dataset for multi-person eyeblink detection in untrimmed in-the-wild videos. The data is released for non-commercial research purposes only. For any questions, please contact {wenzhengzeng, Yang_Xiao}@hust.edu.cn. If you find this dataset useful in your research, please consider to cite our paper: <pre>@inproceedings{zeng2023real, title={Real-time Multi-person Eyeblink Detection in the Wild for Untrimmed Video}, author={Zeng, Wenzheng and Xiao, Yang and Wei, Sicheng and Gan, Jinfang and Zhang, Xintao and Cao, Zhiguo and Fang, Zhiwen and Zhou, Joey Tianyi}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={13854--13863}, year={2023} }</pre>
DOI: 10.5519/qd.z3y4gjob
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (219413 records)
DOI: 10.5519/qd.axamcxc0
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5604 records)
DOI: 10.48366/r642845
title: Comparing RML Editors

description: This comparison shows the similarities and differences between the four RML editors.
DOI: 10.48366/r642848
title: Comparing RML Editors

description: This comparison shows the similarities and differences between the four RML editors.