cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10211095
title: Checagens de vacinas - IFCN - 2020-21

description: Planilha com todas as checagens de fatos sobre vacinas/vacinação feitas por fact-checkers brasileiros participando da iniciativa #CoronaVirusFactsAlliance, promovida pela IFCN.
DOI: 10.5281/zenodo.10214252
title: Checagens de vacinas - IFCN - 2020-21

description: Planilha com todas as checagens de fatos sobre vacinas/vacinação feitas por fact-checkers brasileiros participando da iniciativa #CoronaVirusFactsAlliance, promovida pela IFCN.
DOI: 10.5281/zenodo.10214168
title: Towards an open pipeline for the detection of Critical Infrastructure from satellite imagery – A case study on electrical substations in The Netherlands

description: Abstract. Critical infrastructure (CI) are at risk of failure due to the increased frequency and magnitude of climate extremes related to climate change. It is thus essential to include them in a risk management framework to identify risk hotspots, develop risk management policies and support adaptation strategies to enhance their resilience. However, the lack of information on the exposure of CI prevents their incorporation in large-scale risk assessment studies. This study sets out to improve the representation of CI for risk assessment studies by building a neural network model to detect CI assets from optical remote sensing imagery. We present a pipeline that extracts CI from OpenStreetMaps, processes the imagery and assets' masks, and trains a Mask R-CNN model that allows for instance segmentation of CI at the asset level. This study provides an overview of the pipeline and tests it with the detection of electrical substations assets in the Netherlands. Several experiments are presented for different under-sampling percentages of the majority class (25%, 50% and 100%) and hyperparameters settings (batch size and learning rate). The best metrics achieved are an Average Precision at an Intersection over Union of 50% of 30.93 and a tile F-score of 89.88%. This allows us to confirm the feasibility of the method and invite disaster risk researchers to use this pipeline for other infrastructure types. We conclude by exploring the different avenues to improve the pipeline by addressing the class imbalance, Transfer Learning and Explainable AI.
DOI: 10.5281/zenodo.8435240
title: Towards an open pipeline for the detection of Critical Infrastructure from satellite imagery – A case study on electrical substations in The Netherlands

description: Abstract. Critical infrastructure (CI) are at risk of failure due to the increased frequency and magnitude of climate extremes related to climate change. It is thus essential to include them in a risk management framework to identify risk hotspots, develop risk management policies and support adaptation strategies to enhance their resilience. However, the lack of information on the exposure of CI prevents their incorporation in large-scale risk assessment studies. This study sets out to improve the representation of CI for risk assessment studies by building a neural network model to detect CI assets from optical remote sensing imagery. We present a pipeline that extracts CI from OpenStreetMaps, processes the imagery and assets' masks, and trains a Mask R-CNN model that allows for instance segmentation of CI at the asset level. This study provides an overview of the pipeline and tests it with the detection of electrical substations assets in the Netherlands. Several experiments are presented for different under-sampling percentages of the majority class (25%, 50% and 100%) and hyperparameters settings (batch size and learning rate). The best metrics achieved are an Average Precision at an Intersection over Union of 50% of 30.93 and a tile F-score of 89.88%. This allows us to confirm the feasibility of the method and invite disaster risk researchers to use this pipeline for other infrastructure types. We conclude by exploring the different avenues to improve the pipeline by addressing the class imbalance, Transfer Learning and Explainable AI.
DOI: 10.25345/c55717z9n
title: MassIVE MSV000093521 - Hypoxylon investiens extracts obtained by Plackett Burman DOE, using epigenetic modulators
title: Hypoxylon investiens (isolated from Asparagopsis taxiformis) extracts obtained by Plackett Burman DOE, using epigenetic modulators and varying physico-chemical conditions
DOI: 10.24400/527896/a01-2023.019
title: Dynamic Atmospheric Correction dedicated to SWOT CalVal Phase

description: Dynamic Atmospheric Correction is based on MOG2D-G High Resolution barotropic model and an IB correction; Use a 2 days filtering cut-off for IB and sea level (instead of 20 days for operational DAC) and filtered sea level grids are extrapolated on 2 pixels on the coasts to ensure a better coastal coverage (only 1 pixel for the operational DAC)
DOI: 10.34740/kaggle/ds/4074249
title: Galician Wikipedia (Galipedia) Contribution Tryads
DOI: 10.5287/ora-nog1w7er5
title: Potential for mobility hub solutions for rural areas with low bus frequency: An application of GTFS data to bus frequency

description: This deposit includes (a) coding and data-map to re-create the paper's results, using Stata 14 and QGIS, and (b) a smaller zipped-CSV dataset (and codebook) for researchers wishing to directly make use of the bus-frequency data.
DOI: 10.17909/d1my-ya64
title: Deconvolution of JWST/MIRI Images: Applications to an AGN Model and GATOS Observations of NGC 5728

description: The superb image quality, stability and sensitivity of the JWST permit deconvolution techniques to be pursued with a fidelity unavailable to ground-based observations. We present an assessment of several deconvolution approaches to improve image quality and mitigate effects of the complex JWST point spread function (PSF). The optimal deconvolution method is determined by using WebbPSF to simulate JWST’s complex PSF and MIRISim to simulate multi-band JWST/Mid-Infrared Imager Module (MIRIM) observations of a toy model of an active galactic nucleus (AGN). Five different deconvolution algorithms are tested: (1) Kraken Compact Multi Frame Blind Deconvolution, (2) Richardson-Lucy, (3) Adaptive Imaging Deconvolution Algorithm, (4) Sparse regularization with the Condat-Vu algorithm, and (5) Iterative Wiener Filtering and Thresholding. We find that Kraken affords the greatest FWHM reduction of the nuclear source of our MIRISim observations for the toy AGN model while retaining good photometric integrity across all simulated wavebands. Applying Kraken to Galactic Activity, Torus, and Outflow Survey (GATOS) multi-band JWST/MIRIM observations of the Seyfert 2 galaxy NGC 5728, we find that the algorithm reduces the FWHM of the nuclear source by a factor of 1.6–2.2 across all five filters. Kraken images facilitate detection of a SE to NW ~2".5 (~470 pc, PA 115°) extended nuclear emission, especially in the longest wavelengths. We demonstrate that Kraken is a powerful tool to enhance faint features otherwise hidden in the complex JWST PSF.
DOI: 10.5281/zenodo.10213314
title: Yamashita_etal_datasets_AABA2023
DOI: 10.5281/zenodo.10213313
title: Yamashita_etal_datasets_AABA2023
DOI: 10.5281/zenodo.8422941
title: DATASET: Isotope Ratios, Carbon and Nitrogen Concentrations, and Phytoplankton Composition Data from the ACE Expedition

description: This dataset represents the averaged observations derived from the Antarctic Circumnavigation Expedition (ACE - 2016/2017) and has been utilized for the analyses presented in the publication: "A circum-Antarctic plankton isoscape: Carbon export potential across the summertime Southern Ocean". It encompasses a comprehensive suite of biogeochemical measurements, specifically the isotopic ratios (δ13C, δ15N) and concentrations of carbon and nitrogen in Suspended Particulate Matter (SPM). Additionally, it includes data from High-Performance Liquid Chromatography (HPLC) analyses (i.e., Total Chl-a and fractions of pico-, nano-, and micro-phytoplankton).
This dataset also contains the outputs of our calculations based on the two-endmember isotope mixing model (Fawcett et al., 2011), complemented by the Rayleigh model (Mariotti et al., 1981) to deduce the fraction of phytoplankton biomass originating from new nitrogen source (New Production).
DOI: 10.5281/zenodo.8422942
title: DATASET: Isotope Ratios, Carbon and Nitrogen Concentrations, and Phytoplankton Composition Data from the ACE Expedition

description: This dataset represents the averaged observations derived from the Antarctic Circumnavigation Expedition (ACE - 2016/2017) and has been utilized for the analyses presented in the publication: "A circum-Antarctic plankton isoscape: Carbon export potential across the summertime Southern Ocean". It encompasses a comprehensive suite of biogeochemical measurements, specifically the isotopic ratios (δ13C, δ15N) and concentrations of carbon and nitrogen in Suspended Particulate Matter (SPM). Additionally, it includes data from High-Performance Liquid Chromatography (HPLC) analyses (i.e., Total Chl-a and fractions of pico-, nano-, and micro-phytoplankton).
This dataset also contains the outputs of our calculations based on the two-endmember isotope mixing model (Fawcett et al., 2011), complemented by the Rayleigh model (Mariotti et al., 1981) to deduce the fraction of phytoplankton biomass originating from new nitrogen source (New Production).
DOI: 10.6084/m9.figshare.24650148
title: <b>STUDENTS’ UNDERSTANDING OF THE EQUAL SIGN WHEN SOLVING ARITHMETIC TASKS</b>

description: This is a project conducted in Ghana. It sought to understand how learners understand equal sign
DOI: 10.6084/m9.figshare.24650148.v1
title: <b>STUDENTS’ UNDERSTANDING OF THE EQUAL SIGN WHEN SOLVING ARITHMETIC TASKS</b>

description: This is a project conducted in Ghana. It sought to understand how learners understand equal sign
DOI: 10.34740/kaggle/dsv/7075877
title: Dados CTPS 2020 a 2022 Ministerio do Trabalho
DOI: 10.5517/ccdc.csd.cc2cxndc
title: CCDC 2202283: Experimental Crystal Structure Determination

description: Related Article: Yeongyu Hwang, Steven R. Wisniewski, Keary M. Engle|2023|J.Am.Chem.Soc.|145|25293|doi:10.1021/jacs.3c08855
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.cc2dc4fc
title: CCDC 2215242: Experimental Crystal Structure Determination

description: Related Article: Emily P. Bacher, Raïssa Twiringiyimana, Kevin X. Rodriguez, Renita A. Wilson, Alexandra K. Bodnar, Ryan O’Connell, Tiffany A. Toni, Kaitlyn E. Eckert, Olaf Wiest, Brandon L. Ashfeld|2023|Org.Lett.|25|8156|doi:10.1021/acs.orglett.3c03344
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.cc2dx5vc
title: CCDC 2231623: Experimental Crystal Structure Determination

description: Related Article: Hui-Min Yu, Ming-Hao Du, Jie Shu, Yun-Hu Deng, Ze-Ming Xu, Zhi-Wen Huang, Zheng Zhang, Bingbing Chen, Pierre Braunstein, Jian-Ping Lang|2023|J.Am.Chem.Soc.|145|25103|doi:10.1021/jacs.3c11398
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.cc2f1dsp
title: CCDC 2235682: Experimental Crystal Structure Determination

description: Related Article: Yeongyu Hwang, Steven R. Wisniewski, Keary M. Engle|2023|J.Am.Chem.Soc.|145|25293|doi:10.1021/jacs.3c08855
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.cc2f43h6
title: CCDC 2238277: Experimental Crystal Structure Determination

description: Related Article: Yeongyu Hwang, Steven R. Wisniewski, Keary M. Engle|2023|J.Am.Chem.Soc.|145|25293|doi:10.1021/jacs.3c08855
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.cc2g41ym
title: CCDC 2268020: Experimental Crystal Structure Determination

description: Related Article: Shi-Hao Deng, Shi-Yi Zhao, Yi-Yun Huang, Meng-Ran Chang, Zhi-Bing Dong|2023|J.Org.Chem.|88|15925|doi:10.1021/acs.joc.3c02113
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.cc2gn7ds
title: CCDC 2283565: Experimental Crystal Structure Determination

description: Related Article: Nisha Kamboj, Ayan Dey, Prem Lama, Moumita Majumder, Srijan Sengupta, Ramesh K. Metre|2023|Dalton Trans.|52|17163|doi:10.1039/D3DT02975A
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.cc2gn7ft
title: CCDC 2283566: Experimental Crystal Structure Determination

description: Related Article: Nisha Kamboj, Ayan Dey, Prem Lama, Moumita Majumder, Srijan Sengupta, Ramesh K. Metre|2023|Dalton Trans.|52|17163|doi:10.1039/D3DT02975A
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.10214311
title: The Forest Species Database (FSD)

description: The Forest Species Database (FSD) is composed of 2,240 microscopic images from 112 different species from two groups (Hardwood and Softwood), 85 genera and 30 families, . The images were acquired from the sheets of wood using a Olympus Cx40 microscope with 100 times zoom. The resulting color images were saved in PNG (Portable Network Graphics) format with no compression and a resolution of 1024 × 768 pixels. The figure below provides some samples of the database.
The FSD 1.0 is structured as follows:

112 species – 20 images per species = 2,240 images.
The FS Database may be used for non-commercial research provided you acknowledge the source of the image by citing the following paper in publications about your research:

J. Martins, L. S. Oliveira, S. Nigkoski, R. Sabourin, A Database for Automatic Classification of Forest Species, Machine Vision and Applications, 24(3): 567-578, 2013. (pdf)
DOI: 10.5281/zenodo.10214312
title: The Forest Species Database (FSD)

description: The Forest Species Database (FSD) is composed of 2,240 microscopic images from 112 different species from two groups (Hardwood and Softwood), 85 genera and 30 families, . The images were acquired from the sheets of wood using a Olympus Cx40 microscope with 100 times zoom. The resulting color images were saved in PNG (Portable Network Graphics) format with no compression and a resolution of 1024 × 768 pixels. The figure below provides some samples of the database.
The FSD 1.0 is structured as follows:

112 species – 20 images per species = 2,240 images.
The FS Database may be used for non-commercial research provided you acknowledge the source of the image by citing the following paper in publications about your research:

J. Martins, L. S. Oliveira, S. Nigkoski, R. Sabourin, A Database for Automatic Classification of Forest Species, Machine Vision and Applications, 24(3): 567-578, 2013. (pdf)
DOI: 10.34683/sr1202
title: StoneRounds Case: SR1202
title: XL Choroideremia

description: StoneRounds Case SR1202 was diagnosed with XL Choroideremia likely caused by mutations in the gene: CHM.
DOI: 10.5519/qd.unzd8o0v
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (8295 records)
DOI: 10.5522/04/24110472
title: Supplementary file.docx -<b>‘Partner involvement in contraception decision making globally: qualitative evidence synthesis’</b>

description: This file contains data of qualitative evidence synthesis for the topic - <b>Partner involvement in contraception decision making globally: a qualitative evidence synthesis</b>We examined worldwide evidence of factors that influence contraception choice and use. The databases searched were PubMed, Cochrane Database for Systematic Reviews (CDSR), Epistemonikos, Database of Promoting Health Effectiveness Reviews (DoPHER), Database of Abstracts of Reviews of Effects (DARE), NHS Economic Evaluation Database, Campbell Library, NIHR Health Technology Assessment, Health Evidence Canada for systematic reviews published since 2000. The initial search conducted until June 2019 retrieved 24 systematic reviews, and 14 systematic reviews were retrieved after the search update in December 2021.The references of all the primary qualitative studies included in 38 systematic reviews were identified and imported into EPPI-Reviewer Web<sup> </sup>for screening.Around 24 SRs were harvested, and 1594 primary studies were identified from these systematic reviews. The title and abstracts of these studies were screened for eligibility, 1398 studies were excluded after ti/ab screening and 196 full texts were eligible for full text screening. Out of these 196 full texts, around 163 studies were excluded at full text screening stage and 33 studies were included for data extraction and analysis. During the search update, 14 SRs were harvested and 63 full texts were identified and screened for eligibility, 57 full texts were excluded and 6 included for data extraction and analysis. Therefore, after the original search and updated search, a total of 39 studies were included for data analysis and contributed to information in this review
DOI: 10.5522/04/24110472.v1
title: Supplementary file.docx -<b>‘Partner involvement in contraception decision making globally: qualitative evidence synthesis’</b>

description: This file contains data of qualitative evidence synthesis for the topic - <b>Partner involvement in contraception decision making globally: a qualitative evidence synthesis</b>We examined worldwide evidence of factors that influence contraception choice and use. The databases searched were PubMed, Cochrane Database for Systematic Reviews (CDSR), Epistemonikos, Database of Promoting Health Effectiveness Reviews (DoPHER), Database of Abstracts of Reviews of Effects (DARE), NHS Economic Evaluation Database, Campbell Library, NIHR Health Technology Assessment, Health Evidence Canada for systematic reviews published since 2000. The initial search conducted until June 2019 retrieved 24 systematic reviews, and 14 systematic reviews were retrieved after the search update in December 2021.The references of all the primary qualitative studies included in 38 systematic reviews were identified and imported into EPPI-Reviewer Web<sup> </sup>for screening.Around 24 SRs were harvested, and 1594 primary studies were identified from these systematic reviews. The title and abstracts of these studies were screened for eligibility, 1398 studies were excluded after ti/ab screening and 196 full texts were eligible for full text screening. Out of these 196 full texts, around 163 studies were excluded at full text screening stage and 33 studies were included for data extraction and analysis. During the search update, 14 SRs were harvested and 63 full texts were identified and screened for eligibility, 57 full texts were excluded and 6 included for data extraction and analysis. Therefore, after the original search and updated search, a total of 39 studies were included for data analysis and contributed to information in this review
DOI: 10.5519/qd.egj8zq1k
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (2867 records)
DOI: 10.17909/yjb7-aa73
title:  Deconvolution of JWST/MIRI Images: Applications to an AGN Model and GATOS Observations of NGC 5728

description: The superb image quality, stability and sensitivity of the JWST permit deconvolution techniques to be pursued with a fidelity unavailable to ground-based observations. We present an assessment of several deconvolution approaches to improve image quality and mitigate effects of the complex JWST point spread function (PSF). The optimal deconvolution method is determined by using WebbPSF to simulate JWST’s complex PSF and MIRISim to simulate multi-band JWST/Mid-Infrared Imager Module (MIRIM) observations of a toy model of an active galactic nucleus (AGN). Five different deconvolution algorithms are tested: (1) Kraken Compact Multi Frame Blind Deconvolution, (2) Richardson-Lucy, (3) Adaptive Imaging Deconvolution Algorithm, (4) Sparse regularization with the Condat-Vu algorithm, and (5) Iterative Wiener Filtering and Thresholding. We find that Kraken affords the greatest FWHM reduction of the nuclear source of our MIRISim observations for the toy AGN model while retaining good photometric integrity across all simulated wavebands. Applying Kraken to Galactic Activity, Torus, and Outflow Survey (GATOS) multi-band JWST/MIRIM observations of the Seyfert 2 galaxy NGC 5728, we find that the algorithm reduces the FWHM of the nuclear source by a factor of 1.6–2.2 across all five filters. Kraken images facilitate detection of a SE to NW ~2".5 (~470 pc, PA 115°) extended nuclear emission, especially in the longest wavelengths. We demonstrate that Kraken is a powerful tool to enhance faint features otherwise hidden in the complex JWST PSF.
DOI: 10.5281/zenodo.10143713
title: Dysmenorrhea Study 2023: Raw Dataset In SPSS
title: Characteristics and Factors Associated with Primary Dysmenorrhea in Adolescent Girls
DOI: 10.5281/zenodo.10143714
title: Dysmenorrhea Study 2023: Raw Dataset In SPSS
title: Characteristics and Factors Associated with Primary Dysmenorrhea in Adolescent Girls