cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7701748
title: PAN23 Profiling Cryptocurrency Influencers with Few-shot Learning

description: This is the dataset for the shared task on Profiling Cryptocurrency Influencers with Few-shot Learning. Please consult the task's page for further details on the format, the dataset's creation, and links to baselines and utility code. <strong>Task</strong>: In this shared task we aim to profile cryptocurrency influencers in social media, from a low-resource perspective. Moreover, we propose to categorize other related aspects of the influencers, also using a low-resource setting. Specifically, we focus on English Twitter posts for three different sub-tasks: <strong>Low-resource influencer profiling (subtask1):</strong> Input:<br> 32 users per label with a maximum of 10 English tweets each.<br> Classes: (1) null, (2) nano, (3) micro, (4) macro, (5) mega Official evaluation metric: Macro F1 Submission: TIRA. Baselines: User-character Logistic Regression; t5-large (bi-encoders) - zero shot [7], t5-large (label tuning) - few shot [7] <strong>Low-resource influencer interest identification (subtask2):</strong> Input:<br> 64 users per label with 1 English tweet each.<br> Classes: (1) technical information, (2) price update, (3) trading matters, (4) gaming, (5) other Official evaluation metric: Macro F1 Submission: TIRA. Baselines: User-character Logistic Regression; t5-large (bi-encoders) - zero shot [7], t5-large (label tuning) - few shot [7] <strong>Low-resource influencer intent identification (subtask3):</strong> Input:<br> 64 users per label with 1 English tweets each.<br> Classes: (1) subjective opinion, (2) financial information, (3) advertising, (4) announcement Official evaluation metric: Macro F1 Submission: TIRA. Baselines: User-character Logistic Regression; t5-large (bi-encoders) - zero shot [7], t5-large (label tuning) - few shot [7] <strong>Versioning:</strong> 1.0: initial upload 1.1 fixed a minor bug where some users contained some non-English text. Since English is the target language in the competition, all non-English texts have been replaced or removed.
DOI: 10.5281/zenodo.7616218
title: PAN23 Profiling Cryptocurrency Influencers with Few-shot Learning

description: This is the dataset for the shared task on Profiling Cryptocurrency Influencers with Few-shot Learning. Please consult the task's page for further details on the format, the dataset's creation, and links to baselines and utility code. <strong>Task</strong>: In this shared task we aim to profile cryptocurrency influencers in social media, from a low-resource perspective. Moreover, we propose to categorize other related aspects of the influencers, also using a low-resource setting. Specifically, we focus on English Twitter posts for three different sub-tasks: <strong>Low-resource influencer profiling (subtask1):</strong> Input:<br> 32 users per label with a maximum of 10 English tweets each.<br> Classes: (1) null, (2) nano, (3) micro, (4) macro, (5) mega Official evaluation metric: Macro F1 Submission: TIRA. Baselines: User-character Logistic Regression; t5-large (bi-encoders) - zero shot [7], t5-large (label tuning) - few shot [7] <strong>Low-resource influencer interest identification (subtask2):</strong> Input:<br> 64 users per label with 1 English tweet each.<br> Classes: (1) technical information, (2) price update, (3) trading matters, (4) gaming, (5) other Official evaluation metric: Macro F1 Submission: TIRA. Baselines: User-character Logistic Regression; t5-large (bi-encoders) - zero shot [7], t5-large (label tuning) - few shot [7] <strong>Low-resource influencer intent identification (subtask3):</strong> Input:<br> 64 users per label with 1 English tweets each.<br> Classes: (1) subjective opinion, (2) financial information, (3) advertising, (4) announcement Official evaluation metric: Macro F1 Submission: TIRA. Baselines: User-character Logistic Regression; t5-large (bi-encoders) - zero shot [7], t5-large (label tuning) - few shot [7] <strong>Versioning:</strong> 1.0: initial upload 1.1 fixed a minor bug where some users contained some non-English text. Since English is the target language in the competition, all non-English texts have been replaced or removed.
DOI: 10.34740/kaggle/dsv/5115487
title: YouTube Trending Video Dataset (updated daily)
DOI: 10.5281/zenodo.7640137
title: Confirmation of the suitability and stability of the imatinib mesylate drug product formulation for intravenous administration in the INVENT-COVID clinical trial

description: Abstract: An isotonic sterile aqueous solution of imatinib mesylate was formulated and then manufactured according to cGMP by KABS Laboratories. A solution pH of 5.0 is optimum for imatinib mesylate solubility and stability and this is maintained by a sodium acetate buffer. The drug product for the clinical study was presented as a sterile solution in a Type 1 clear glass vial with chlorobutyl stopper and seal. Stability studies on the drug product have confirmed an excellent stability profile and these data are presented in Table 1. The drug product specification detailed in this table is consistent with Regulatory Authority requirements for this stage in clinical development. These data support the conclusion that the drug product used in the INVENT-COVID trial was fully compliant with all cGMP and EU Regulatory Authority requirements.
DOI: 10.5281/zenodo.7640138
title: Confirmation of the suitability and stability of the imatinib mesylate drug product formulation for intravenous administration in the INVENT-COVID clinical trial

description: Abstract: An isotonic sterile aqueous solution of imatinib mesylate was formulated and then manufactured according to cGMP by KABS Laboratories. A solution pH of 5.0 is optimum for imatinib mesylate solubility and stability and this is maintained by a sodium acetate buffer. The drug product for the clinical study was presented as a sterile solution in a Type 1 clear glass vial with chlorobutyl stopper and seal. Stability studies on the drug product have confirmed an excellent stability profile and these data are presented in Table 1. The drug product specification detailed in this table is consistent with Regulatory Authority requirements for this stage in clinical development. These data support the conclusion that the drug product used in the INVENT-COVID trial was fully compliant with all cGMP and EU Regulatory Authority requirements.
DOI: 10.5281/zenodo.7701771
title: Bibliometric and performance data of Unisinos' Postgraduate Program in Biology and code to analyze production and impact.

description: Zip file containing data and R code for running analysis in the MS titled "<strong>Productivity and impact of the Unisinos’ Postgraduate Program in Biology and the consequences of its interruption for Brazilian scienceProductivity and impact of the Unisinos’ Postgraduate Program in Biology and the consequences of its interruption for Brazilian science" </strong>authored by Piter Kehoma Boll and Lucas Krüger.
DOI: 10.5281/zenodo.7701770
title: Bibliometric and performance data of Unisinos' Postgraduate Program in Biology and code to analyze production and impact.

description: Zip file containing data and R code for running analysis in the MS titled "<strong>Productivity and impact of the Unisinos’ Postgraduate Program in Biology and the consequences of its interruption for Brazilian scienceProductivity and impact of the Unisinos’ Postgraduate Program in Biology and the consequences of its interruption for Brazilian science" </strong>authored by Piter Kehoma Boll and Lucas Krüger.
DOI: 10.5281/zenodo.7701768
title: Data of the paper "The ionospheric exploration based on TJU#01 meteorological microsatellite mission: initial results"

description: Ionospheric occultation data of the paper "The ionospheric exploration based on TJU#01 meteorological microsatellite mission: initial results"
DOI: 10.5281/zenodo.4775010
title: ENGAGE National database for Nature Climate Change Perspective (Fujimori et al., 2021)

description: As part of ENGAGE project (Horizon 2020; 821471), an assessment of quantitative, model-based climate change national mitigation pathways was conducted. The compilation and assessment of the scenario ensemble was conducted by authors of Fujimori et al. (2021) <em>Nature Climate Change</em>, and the resource is hosted by the International Institute for Applied Systems Analysis (IIASA).
description: {"references": ["Fujimori et al. (2021) A framework for national scenarios with varying emission reductions, Nature Climate Change"]}
DOI: 10.5281/zenodo.4653340
title: ENGAGE National database for Nature Climate Change Perspective (Fujimori et al., 2021)

description: As part of ENGAGE project (Horizon 2020; 821471), an assessment of quantitative, model-based climate change national mitigation pathways was conducted. The compilation and assessment of the scenario ensemble was conducted by authors of Fujimori et al. (2021) <em>Nature Climate Change</em>, and the resource is hosted by the International Institute for Applied Systems Analysis (IIASA).
description: {"references": ["Fujimori et al. (2021) A framework for national scenarios with varying emission reductions, Nature Climate Change"]}
DOI: 10.5517/ccdc.csd.cc1qcmpd
title: CCDC 1590104: Experimental Crystal Structure Determination

description: Related Article: Dan Yan, Yiming Chen, Yunhui Yang, Zhiyong Guo, Junfang Guo|2022|Inorg.Chem.|61|1360|doi:10.1021/acs.inorgchem.1c02854
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.cc29167t
title: CCDC 2116315: Experimental Crystal Structure Determination

description: Related Article: Zhan-Guo Jiang, Wei-Hong Wu, Bo-Xing Jin, Hui-Min Zeng, Zhi-Gang Jin, Cai-Hong Zhan|2022|Nanoscale|14|1971|doi:10.1039/D1NR07170J
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.5787507
title: LoGov Germany Interview Report n°3

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To access the other interview reports on Germany, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.5787506
title: LoGov Germany Interview Report n°3

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To access the other interview reports on Germany, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.7701665
title: Database on Certified Reference Materials measured with PAT tools for validation and verification purposes

description: The H2020 PAT4Nano project aims to develop and demonstrate Process Analytical Technologies (PAT) tools for nanosuspension characterization which have sufficiently high resolution, accuracy, and speed, for real-time industrial process monitoring and control. Real time monitoring is desired for example to obtain: small, high precision, specialty batch of materials, processing monitoring of nucleation/growth/milling of materials at different scales (lab, pilot, production), and for producing feedback loops (adapt T, pH, etc.,) needed for process control.<br> Laser diffraction (LD), Spatially Resolved Dynamic Light Scattering (SR-DLS), Cross-Correlation Dynamic Light Scattering (CC-DLS), Ultrasound Nanoparticle Sizer (UNPS), Raman, and Transmission Electron Microscopy (TEM) are the main PAT tools used in this project. For validation and verification purposes of these measurement techniques, polystyrene and silica samples (200 and 1000 nm particle size) were selected as (Certified) Reference Materials ((C))RMs) by the consortium partners. The results described in this database are particle size measurements using PAT methods in an offline mode. The particle size and particle size distribution data are presented as the D10, D50 and D90 and PDI/span measured with each PAT tool.<br> Raman spectra of the CRMs are presented as well. Here, particle size data was extracted by using chemometric software. Lastly, TEM images of the CRMs are included in the database to cross-correlate and cross-validate the results of the spectroscopic and scattering PAT tools.
DOI: 10.5281/zenodo.7701664
title: Database on Certified Reference Materials measured with PAT tools for validation and verification purposes

description: The H2020 PAT4Nano project aims to develop and demonstrate Process Analytical Technologies (PAT) tools for nanosuspension characterization which have sufficiently high resolution, accuracy, and speed, for real-time industrial process monitoring and control. Real time monitoring is desired for example to obtain: small, high precision, specialty batch of materials, processing monitoring of nucleation/growth/milling of materials at different scales (lab, pilot, production), and for producing feedback loops (adapt T, pH, etc.,) needed for process control.<br> Laser diffraction (LD), Spatially Resolved Dynamic Light Scattering (SR-DLS), Cross-Correlation Dynamic Light Scattering (CC-DLS), Ultrasound Nanoparticle Sizer (UNPS), Raman, and Transmission Electron Microscopy (TEM) are the main PAT tools used in this project. For validation and verification purposes of these measurement techniques, polystyrene and silica samples (200 and 1000 nm particle size) were selected as (Certified) Reference Materials ((C))RMs) by the consortium partners. The results described in this database are particle size measurements using PAT methods in an offline mode. The particle size and particle size distribution data are presented as the D10, D50 and D90 and PDI/span measured with each PAT tool.<br> Raman spectra of the CRMs are presented as well. Here, particle size data was extracted by using chemometric software. Lastly, TEM images of the CRMs are included in the database to cross-correlate and cross-validate the results of the spectroscopic and scattering PAT tools.
DOI: 10.34740/kaggle/dsv/5115583
title: Egypt Gold Prices | Daily Updated
DOI: 10.5281/zenodo.5787494
title: LoGov Germany Interview Report n°1

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To access the other interview reports on Germany, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.5787493
title: LoGov Germany Interview Report n°1

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Germany. To access the other interview reports on Germany, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.6084/m9.figshare.19762114.v2
title: dataset_MWD_SOC

description: Data on the relative proportion of different water stable soil aggregate sizes, mean weight diameter of soil aggregates, SOC, C stocks (based on min. equ. soil mass), soil management in croplands and neighboring non-cropped grassland sites across Europe (Spain, France, Switzerland, Germany, Sweden)
DOI: 10.6084/m9.figshare.21814527
title: Impact of estrogen and progesterone hormone receptors on the progression of interferon-γ sensitized breast cancer cells

description: RawData Transcriptome IFNg BC: Whole transcriptome raw data of triple negative MDA-MB-231 and hormonal positive BC cells untreated and treated with IFN-γ. <br> Processed IFNg BC Data: Processed data RNA-seq with P value of triple negative MDA-MB-231 and hormonal positive BC cells untreated and treated with IFN-γ <br> Extended data: Validation of transfection, Overall survival figures, Forward and Reverse primers sequence, CIBERSORT table <br> ER-PR Raw data PCR results <br> <br>
DOI: 10.6084/m9.figshare.21814527.v13
title: Impact of estrogen and progesterone hormone receptors on the progression of interferon-γ sensitized breast cancer cells

description: RawData Transcriptome IFNg BC: Whole transcriptome raw data of triple negative MDA-MB-231 and hormonal positive BC cells untreated and treated with IFN-γ. <br> Processed IFNg BC Data: Processed data RNA-seq with P value of triple negative MDA-MB-231 and hormonal positive BC cells untreated and treated with IFN-γ <br> Extended data: Validation of transfection, Overall survival figures, Forward and Reverse primers sequence, CIBERSORT table <br> ER-PR Raw data PCR results <br> <br>
DOI: 10.6084/m9.figshare.21814527.v12
title: Impact of estrogen and progesterone hormone receptors on the progression of interferon-γ sensitized breast cancer cells

description: RawData Transcriptome IFNg BC: Whole transcriptome raw data of triple negative MDA-MB-231 and hormonal positive BC cells untreated and treated with IFN-γ. <br> Processed IFNg BC Data: Processed data RNA-seq with P value of triple negative MDA-MB-231 and hormonal positive BC cells untreated and treated with IFN-γ <br> Extended data: Validation of transfection, Overall survival figures, Forward and Reverse primers sequence, CIBERSORT table <br> ER-PR Raw data PCR results <br> <br>
DOI: 10.5281/zenodo.5777275
title: LoGov Italy Interview Report n°1

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Italy. To access the full transcription of this interview, the other interview reports on Italy, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.5777274
title: LoGov Italy Interview Report n°1

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on Italy. To access the full transcription of this interview, the other interview reports on Italy, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.5789264
title: LoGov South Africa Interview Report n°10

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on South Africa. To access the full transcription of this interview, the other interview reports on South Africa, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.5281/zenodo.5789263
title: LoGov South Africa Interview Report n°10

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on South Africa. To access the full transcription of this interview, the other interview reports on South Africa, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.
DOI: 10.6084/m9.figshare.22187722
title: SEM data

description: raw SEM data_data
DOI: 10.6084/m9.figshare.22182964
title: AFM data

description: AFM raw data
DOI: 10.6084/m9.figshare.22181908
title: QCM data

description: Raw QCM data
DOI: 10.6084/m9.figshare.22181908.v1
title: QCM data

description: Raw QCM data
DOI: 10.5281/zenodo.5789260
title: LoGov South Africa Interview Report n°9

description: The interviews have been realised in the framework of the H2020-MSCA-RISE-2018 project “LoGov - Local Government and the Changing Urban-Rural Interplay” as part of the implementation phase of the project. The interviews have been conducted with experts in the field of public administration, public law and political science, both researchers and practitioners, with the aim of widening the scope of the Country Report on South Africa. To access the full transcription of this interview, the other interview reports on South Africa, and to receive more information about the project, please visit: https://www.logov-rise.eu/. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 823961.