cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21988781.v1
title: Supplementary Material for: Gastric Diffuse Large B-Cell Lymphoma (DLBCL) in an Adolescent: A Case Report

description: Non-Hodgkin Lymphoma (NHL) is the 11th most common cancer worldwide and the 4th most common pediatric cancer. The GI tract is the most common extranodal site of NHL, making up about 30–40% of extranodal cases. The median age at diagnosis for gastrointestinal NHL (gNHL) is around 61. On the other hand, gNHL is very rare in the pediatric population. Herein, we report the case of a 15-year-old girl who complained of abdominal pain and vomiting after meals, with severe B symptoms (fever, night chills, and severe weight loss). Esophagogastroduodenoscopy (EGD) showed a mass in the lesser curvature of the stomach. Subsequent biopsy and immunostaining of the sample confirmed the diagnosis of diffuse large B-cell lymphoma (DLBCL). CT and PET-CT scans indicated the involvement of mesenteric and lesser omental lymph nodes. Later on, the patient started an R-CHOP chemotherapy regimen. In this report, we aim to shine the light on such a rare disease in this age group.
DOI: 10.5519/qd.yutgdf7r
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (5 records)
DOI: 10.5519/qd.kd2ftg9z
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (17 records)
DOI: 10.6084/m9.figshare.3761562.v2490
title: Online Labour Index: Measuring the Online Gig Economy for Policy and Research

description: Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.
DOI: 10.5281/zenodo.7628072
title: DHP images collected from Alto Tajo and Cuellar in Spain.

description: Digital Hemispherical Photography images taken in 33 30 x 30 m plots across two sites in Spain. Images were taken on a 10 m grid, making 16 locations per plot (see Flynn et al., 2022 for details). At each location, DHP images were captured with three exposure settings (automatic and ± one stop exposure compensation), levelling a Canon EOS 6D full frame DSLR sensor with a Sigma EX DG F3.5 fisheye lens, mounted on a Vanguard Alta Pro 263AT tripod. For each RGB image, the blue band was extracted, as this best represents sky/ vegetation contrast. For each plot, an exposure setting was chosen based on visual assessment and pixel brightness histograms of four images indicative of the whole plot. Automatic thresholding was carried out using the Ridler and Calvard method (1978), creating a binary image of sky and vegetation.
DOI: 10.5281/zenodo.7628071
title: DHP images collected from Alto Tajo and Cuellar in Spain.

description: Digital Hemispherical Photography images taken in 33 30 x 30 m plots across two sites in Spain. Images were taken on a 10 m grid, making 16 locations per plot (see Flynn et al., 2022 for details). At each location, DHP images were captured with three exposure settings (automatic and ± one stop exposure compensation), levelling a Canon EOS 6D full frame DSLR sensor with a Sigma EX DG F3.5 fisheye lens, mounted on a Vanguard Alta Pro 263AT tripod. For each RGB image, the blue band was extracted, as this best represents sky/ vegetation contrast. For each plot, an exposure setting was chosen based on visual assessment and pixel brightness histograms of four images indicative of the whole plot. Automatic thresholding was carried out using the Ridler and Calvard method (1978), creating a binary image of sky and vegetation.
DOI: 10.5281/zenodo.7386744
title: Dataset: Health worker compliance with severe malaria treatment guidelines in the context of implementing pre-referral rectal artesunate in the Democratic Republic of the Congo, Nigeria and Uganda: an operational study

description: Dataset underlying the publication "<strong>Health worker compliance with severe malaria treatment guidelines in the context of implementing pre-referral rectal artesunate in the Democratic Republic of the Congo, Nigeria and Uganda: an operational study</strong>" (Plos Medicine) Data originating from the Community Access to Rectal Artesunate for Malaria (CARAMAL) Project, 2018-2021. Analysis of health workers' compliance with the treatment guidelines for severe malaria in the context of rolling out pre-referral rectal artesunate (RAS) in the Democratic Republic of the Congo, Nigeria and Uganda. Details provided in the publication.
description: Funding for this project was provided by Unitaid.
DOI: 10.5281/zenodo.7386745
title: Dataset: Health worker compliance with severe malaria treatment guidelines in the context of implementing pre-referral rectal artesunate in the Democratic Republic of the Congo, Nigeria and Uganda: an operational study

description: Dataset underlying the publication "<strong>Health worker compliance with severe malaria treatment guidelines in the context of implementing pre-referral rectal artesunate in the Democratic Republic of the Congo, Nigeria and Uganda: an operational study</strong>" (Plos Medicine) Data originating from the Community Access to Rectal Artesunate for Malaria (CARAMAL) Project, 2018-2021. Analysis of health workers' compliance with the treatment guidelines for severe malaria in the context of rolling out pre-referral rectal artesunate (RAS) in the Democratic Republic of the Congo, Nigeria and Uganda. Details provided in the publication.
description: Funding for this project was provided by Unitaid.
DOI: 10.48425/5b1jjv1b
title: V_rodents_cameratraps_annual_metadata_lemming_blocks

description: Annual metadata of small mammal cameras on the Varanger peninsula. The dataset contains information recorded during the annual camera check, such as the serial number of the camera, the condition of the camera and other relevant comments. The dataset includes five different types of files and all data files are saved as ;-separated txt-files: * One data file per year with metadata from the annual camera check (_YEAR.txt) * One data file per year with observations on the images during the annual camera check (only for 2016 and 2017) (_observations_YEAR.txt) * One coordinate file with coordinates of all sites (_coordinates.txt) * One auxiliary file with information about which sites are included in the study design (_aux.txt) * One readme file with additional information (_readme.pdf) Image metadata is available in the dataset 'V_rodents_cameratraps_image_metadata_lemming_blocks'. Classification of all images is available in the datasets 'V_rodents_cameratraps_image_classification_lemming_blocks' and 'V_rodents_cameratraps_manual_image_classification_lemming_blocks'.
DOI: 10.25403/upresearchdata.21947894
title: Teaching and learning using oral traditional literature of isiNdebele in Grade 3 foundation phase

description: The study followed a qualitative approach in order to investigate the role of traditional storytelling of folktales in the teaching and learning of isiNdebele in Grade 3. The data analysis was done using the Atlas Ti.version 8 and arranged into subthemes that emerged from each set of questions from each data collection tools as presented below and are categorised as Focus groups, HOD1, Observation, Parents and Teachers Final. The data presented for this study consists of six sections: interviews with parents, teachers, Heads of Departments (HODs), observations of lessons, focus group discussions, and document analysis.
DOI: 10.25403/upresearchdata.21947894.v1
title: Teaching and learning using oral traditional literature of isiNdebele in Grade 3 foundation phase

description: The study followed a qualitative approach in order to investigate the role of traditional storytelling of folktales in the teaching and learning of isiNdebele in Grade 3. The data analysis was done using the Atlas Ti.version 8 and arranged into subthemes that emerged from each set of questions from each data collection tools as presented below and are categorised as Focus groups, HOD1, Observation, Parents and Teachers Final. The data presented for this study consists of six sections: interviews with parents, teachers, Heads of Departments (HODs), observations of lessons, focus group discussions, and document analysis.
DOI: 10.5281/zenodo.7628741
title: Raw Data for the article: Cigarette smoke promotes inflammasome-independent activation of caspase-1 and -4 leading to gasdermin D cleavage in human macrophages

description: Mechanisms and consequences of gasdermin D (GSDMD) activation in cigarette smoke (CS)-associated inflammation and lung disease are unknown. GSDMD is a downstream effector of caspase-1, -8, and -4. Upon cleavage, GSDMD generates pores into cell membranes. Different degrees of GSDMD activation are associated with a range of physiological outputs ranging from cell hyperactivation to pyroptosis. We have previously reported that in human monocyte-derived macrophages CS extract (CSE) inhibits the NLRP3 inflammasome and shifts the response to lipopolysaccharide (LPS) towards the TLR4-TRIF axis leading to activation of caspase-8, which, in turn, activates caspase-1. In the present work, we investigated whether other ASC-dependent inflammasomes could be involved in caspase activation by CSE and whether caspase activation led to GSDMD cleavage and other downstream effects. Presented results demonstrate that CSE promoted ASC-independent activation of caspase-1 leading to GSDMD cleavage and increased cell permeability, in the absence of cell death. GSDMD cleavage was strongly enhanced upon stimulation with LPS+CSE, suggesting a synergistic effect between the two stimuli. Noteworthy, CSE promoted LPS internalization leading to caspase-4 activation, thus contributing to increased GSDMD cleavage. Caspase-dependent GSDMD cleavage was associated with mitochondrial superoxide generation. Increased cleaved GSDMD was found in lung macrophages of smokers compared to ex-smokers and non-smoking controls. Our findings revealed that ASC-independent activation of caspase-1, -4, and -8 and GSDMD cleavage upon exposure to CS may contribute to macrophage dysfunction and feed the chronic inflammation observed in the smokers' lung.
DOI: 10.5281/zenodo.7628740
title: Raw Data for the article: Cigarette smoke promotes inflammasome-independent activation of caspase-1 and -4 leading to gasdermin D cleavage in human macrophages

description: Mechanisms and consequences of gasdermin D (GSDMD) activation in cigarette smoke (CS)-associated inflammation and lung disease are unknown. GSDMD is a downstream effector of caspase-1, -8, and -4. Upon cleavage, GSDMD generates pores into cell membranes. Different degrees of GSDMD activation are associated with a range of physiological outputs ranging from cell hyperactivation to pyroptosis. We have previously reported that in human monocyte-derived macrophages CS extract (CSE) inhibits the NLRP3 inflammasome and shifts the response to lipopolysaccharide (LPS) towards the TLR4-TRIF axis leading to activation of caspase-8, which, in turn, activates caspase-1. In the present work, we investigated whether other ASC-dependent inflammasomes could be involved in caspase activation by CSE and whether caspase activation led to GSDMD cleavage and other downstream effects. Presented results demonstrate that CSE promoted ASC-independent activation of caspase-1 leading to GSDMD cleavage and increased cell permeability, in the absence of cell death. GSDMD cleavage was strongly enhanced upon stimulation with LPS+CSE, suggesting a synergistic effect between the two stimuli. Noteworthy, CSE promoted LPS internalization leading to caspase-4 activation, thus contributing to increased GSDMD cleavage. Caspase-dependent GSDMD cleavage was associated with mitochondrial superoxide generation. Increased cleaved GSDMD was found in lung macrophages of smokers compared to ex-smokers and non-smoking controls. Our findings revealed that ASC-independent activation of caspase-1, -4, and -8 and GSDMD cleavage upon exposure to CS may contribute to macrophage dysfunction and feed the chronic inflammation observed in the smokers' lung.
DOI: 10.48425/9nbixq1e
title: V_rodents_cameratraps_image_classification_intensive_quadrats

description: Classification of images taken by small mammal cameras on the Varanger peninsula. The dataset contains data on presence or absence of small mammal species (Birds, Voles, Lemmings, Shrews, Least weasels and Stoats). The images were classified automatically and in addition to the data files, there is a file describing the machine learning model and files with information about the quality of the automatic classifications for each year. The dataset includes six different types of files and all data files are saved as ;-separated txt-files: * One data file per year and locality (locality_YEAR.txt) * One coordinate file with coordinates of all sites (_coordinates.txt) * One auxiliary file with information about which sites are included in the study design (_aux.txt) * One readme file with additional information (_readme.pdf) * One file with a description of the machine learnomg model used for automatic classfication (_small_mammal_classification_model_v2022_summary.pdf) * One file per year with information about the quality of the automatic classifications (_quality_check_YEAR.pdf) Image metadata is available in the dataset 'V_rodents_cameratraps_image_metadata_intensive_quadrats'. Information recorded during the annual camera check is available in the dataset 'V_rodents_cameratraps_annual_metadata_intensive_quadrats'. The data is not publicly available yet.
DOI: 10.48425/ra2dr8lp
title: V_rodents_cameratraps_image_metadata_intensive_quadrats

description: Image metadata of images taken by small mammal cameras on the Varanger peninsula. The dataset contains metadata for each image, such as date and time when the image was taken, the trigger mode (motion sensor or time lapse) and temperature inside the camera trap. The dataset includes four different types of files and all files are saved as ;-separated txt-files: * One data file per year and locality (locality_YEAR.txt) * One coordinate file with coordinates of all sites (_coordinates.txt) * One auxiliary file with information about which sites are included in the study design (_aux.txt) * One readme file with additional information (_readme.pdf) Classification of the images is available in the dataset 'V_rodents_cameratraps_image_classification_intensive_quadrats'. Information recorded during the annual camera check is available in the dataset 'V_rodents_cameratraps_annual_metadata_intensive_quadrats'. The data is not publicly available yet.
DOI: 10.6084/m9.figshare.22068113.v2
title: A New Vs30 Prediction Strategy Taking Geology, Terrain, And Saturation Into Account: Application To Türkiye - TRVs30_GeoM

description: Supplementary product of the thesis titled by "A New Vs30 Prediction Strategy Taking Geology, Terrain, And Saturation Into Account: Application to Türkiye".<br> The time-averaged shear wave velocity of top 30 meters (Vs30) prediction model of Türkiye. In this study, we used the most possible high-resolution digital elevation model to predict Vs30 across unknown areas where geophysical measurements are limited or absent.
DOI: 10.34740/kaggle/dsv/4976446
title: COVID Vaccination in World (updated daily)
DOI: 10.5517/ccdc.csd.cc1nsflg
title: CCDC 1542826: Experimental Crystal Structure Determination

description: Related Article: Yun Chen|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbfls
title: CCDC 2214565: Experimental Crystal Structure Determination

description: Related Article: Joseph M. Bailey, Jared L. Kneebone, William W. Brennessel, Michael L. Neidig|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2dbg4c
title: CCDC 2214582: Experimental Crystal Structure Determination

description: Related Article: Valentin Jubault, Barthélémy Pradines, Céline Pichon, Nicolas Suaud, Carine Duhayon, Nathalie Guihéry, Jean-Pascal Sutter|2023|Cryst.Growth Des.|23|1229|doi:10.1021/acs.cgd.2c01360
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.cc2dbhv3
title: CCDC 2214635: Experimental Crystal Structure Determination

description: Related Article: HIYORI TAKEBE, NANA YOSHINO, SEIJIRO MATSUBARA|2022|CSD Communication|||
description: Related Article: Hiyori Takebe, Nana Yoshino, Yukako Shimada, Craig M. Williams, Seijiro Matsubara|2023|Org.Lett.|25|27|doi:10.1021/acs.orglett.2c03659
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.cc2dbjkv
title: CCDC 2214657: Experimental Crystal Structure Determination

description: Related Article: Li-Ya Cao, Jia-Le Wang, Kai Wang, Jiang-Bin Wu, De-Ku Wang, Jia-Min Peng, Jin Bai, Chun-Xiang Zhuo|2023|J.Am.Chem.Soc.|145|2765|doi:10.1021/jacs.2c12225
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.cc2dbjlw
title: CCDC 2214658: Experimental Crystal Structure Determination

description: Related Article: Li-Ya Cao, Jia-Le Wang, Kai Wang, Jiang-Bin Wu, De-Ku Wang, Jia-Min Peng, Jin Bai, Chun-Xiang Zhuo|2023|J.Am.Chem.Soc.|145|2765|doi:10.1021/jacs.2c12225
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.cc2dbjmx
title: CCDC 2214659: Experimental Crystal Structure Determination

description: Related Article: Li-Ya Cao, Jia-Le Wang, Kai Wang, Jiang-Bin Wu, De-Ku Wang, Jia-Min Peng, Jin Bai, Chun-Xiang Zhuo|2023|J.Am.Chem.Soc.|145|2765|doi:10.1021/jacs.2c12225
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.cc2dbjpz
title: CCDC 2214661: Experimental Crystal Structure Determination

description: Related Article: Li-Ya Cao, Jia-Le Wang, Kai Wang, Jiang-Bin Wu, De-Ku Wang, Jia-Min Peng, Jin Bai, Chun-Xiang Zhuo|2023|J.Am.Chem.Soc.|145|2765|doi:10.1021/jacs.2c12225
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.cc2dbjt3
title: CCDC 2214665: Experimental Crystal Structure Determination

description: Related Article: Li-Ya Cao, Jia-Le Wang, Kai Wang, Jiang-Bin Wu, De-Ku Wang, Jia-Min Peng, Jin Bai, Chun-Xiang Zhuo|2023|J.Am.Chem.Soc.|145|2765|doi:10.1021/jacs.2c12225
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.cc2dblcq
title: CCDC 2214713: Experimental Crystal Structure Determination

description: Related Article: F. Knoch, D. Sellmann, R. Ruf|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc24bwhw
title: CCDC 1976668: Experimental Crystal Structure Determination

description: Related Article: Xiu-Yan Dong|2022|CSD Communication|||
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.6084/m9.figshare.22060262
title: Com-DARP benchmark.zip

description: An instance characteristics are read as in the following example : "100_3_1.3" means 100 users, 3rd instance of the benchmark with 100 users, maximum ride time coefficient set to 1.3. In total, we generated 24 instances: 8 instances with 100 users, 8 instances 200 users and 8 instances with 400 users. <br> A user has two requests: one morning request and one afternoon request. The pickups and drop-offs locations are randomly distributed on a (-10, 10) grid. For a user, the morning pickup location corresponds to the afternoon drop-off location and the morning drop-off location corresponds to the afternoon pickup location. The morning and the afternoon loads are both equal to 1 and the service duration is always equal to 3 minutes at pickup and drop-off. A user maximum ride time is set to its direct ride times multiplied by a coefficient (1.2, 1.3, 1.4, 1.5). A request maximum ride time is set to the user maximum ride time minus the pair request direct ride time. Additionally, we raise to 15 minutes any maximum ride time lower than this value. The time windows for the morning drop-off and afternoon pickup are set first. The maximum time window for the morning drop-off is randomly selected according to a normal distribution centered on 8am with a variance of 90 minutes. Similarly, the minimum time window for the afternoon pickup is randomly selected according to a normal distribution centered on 4pm with a variance of 90 minutes. Time windows are opened for 10 minutes. Then, the morning pickup and the afternoon drop-off time windows are set according to the time window tightening procedure described in Cordeau (2006). There is one depot located in the center of the map. The service time is equal to zero minute at the depot. A fleet of infinite homogeneous vehicles leaves and returns to this depot. Each vehicle has a capacity of 6 passengers, cost 0.25€ per kilometer, 0.5€ per minute and has a fixed cost of 50€ if used during the day. <br> <br>