cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.14737557.v1
title: Metadata record for: The 2021 update of the EPA's adverse outcome pathway database

description: This dataset contains key characteristics about the data described in the Data Descriptor The 2021 update of the EPA's adverse outcome pathway database. <br> Contents: <br> 1. human readable metadata summary table in CSV format 2. machine readable metadata file in JSON format
DOI: 10.5281/zenodo.5084647
title: UniToBrain Dataset

description: The University of Turin (UniTO) released the open-access dataset UniTOBrain collected for the homonymous Use Case 3 in the DeepHealth project (https://deephealth-project.eu/). UniToBrain is a dataset of Computed Tomography (CT) perfusion images (CTP). The dataset includes 100 training subjects and 15 testing subjects used in a submitted publication for the training and the testing of a Convolutional Neural Network (CNN, see for details: https://arxiv.org/abs/2101.05992, https://paperswithcode.com/paper/neural-network-derived-perfusion-maps-a-model, https://www.medrxiv.org/content/10.1101/2021.01.13.21249757v1). The UniTO team released this dataset publicly. This is a subsample of a greater dataset of 258 subjects that will be soon available for download at https://ieee-dataport.org/.<br> CTP data from 258 consecutive patients were retrospectively obtained from the hospital PACS of Città della Salute e della Scienza di Torino (Molinette). CTP acquisition parameters were as follows: Scanner GE, 64 slices, 80 kV, 150 mAs, 44.5 sec duration, 89 volumes (40 mm axial coverage), injection of 40 ml of Iodine contrast agent (300 mg/ml) at 4 ml/s speed. Along with the dataset, we provide some utility files. dicomtonpy.py: It converts the dicom files in the dataset to numpy arrays. These are 3D arrays, where CT slices at the same height are piled-up over the temporal acquisition. dataloader_pytorch.py: Dataloader for the pytorch deep learning framework. It converts the numpy arrays in normalized tensors, which can be provided as input to standard deep learning models. dataloader_pyeddl.py: Dataloader for the pyeddl deep learning framework. It converts the numpy arrays in normalized tensors, which can be provided as input to standard deep learning models using the european library EDDL. Visit https://github.com/EIDOSlab/UC3-UNITOBrain to have a full companion code where a U-Net model is trained over the dataset.
description: {"references": ["Bennink E, Oosterbroek J, Kudo K, Viergever MA, Velthuis BK, de Jong HWAM. Fast nonlinear regression method for CT brain perfusion analysis. Journal of Medical Imaging 2016. https://doi.org/10.1117/1.jmi.3.2.026003.", "Klein S, Staring M, Murphy K, Viergever MA, Pluim JPW. Elastix: A toolbox for intensity-based medical image registration. IEEE Transactions on Medical Imaging 2010. https://doi.org/10.1109/TMI.2009.2035616.", "Tomasi C, Manduchi R. Bilateral filtering for gray and color images. Proceedings of the IEEE International Conference on Computer Vision, 1998. https://doi.org/10.1109/iccv.1998.710815."]}
DOI: 10.25377/sussex.12416234
title: Data for article "Hedonic contrast and the short-term stimulation of appetite."

description: Data for paper 'Hedonic contrast and the short-term stimulation of appetite' in Appetite (2020)<br>This dataset is from a single experimental study examining the effects of hedonic contrast on food intake in a snack context. Participants (n=96) were assigned at random to one of three conditions where they could eat as much or little as they liked from a sequence of four bowls of snack foods:Palatable - served four bowls of salted crispsBland - served four bowls of unsalted crispsContrast - served salted, unsalted, salted, unsalted in that order.<br>Data are intake (g), rated pleasantness and saltiness for each of the four servings, along with demographic data (age, height, weight and BMI), and individual difference measures (hunger at time of testing, and scores on the Three Factor Eating Questionnaire Restraint and Disinhibition scales, and Barratt Impulsiveness Scale (BIS-11: 3 sub-scales and total score).<br>
DOI: 10.25377/sussex.12416234.v1
title: Data for article "Hedonic contrast and the short-term stimulation of appetite."

description: Data for paper 'Hedonic contrast and the short-term stimulation of appetite' in Appetite (2020)<br>This dataset is from a single experimental study examining the effects of hedonic contrast on food intake in a snack context. Participants (n=96) were assigned at random to one of three conditions where they could eat as much or little as they liked from a sequence of four bowls of snack foods:Palatable - served four bowls of salted crispsBland - served four bowls of unsalted crispsContrast - served salted, unsalted, salted, unsalted in that order.<br>Data are intake (g), rated pleasantness and saltiness for each of the four servings, along with demographic data (age, height, weight and BMI), and individual difference measures (hunger at time of testing, and scores on the Three Factor Eating Questionnaire Restraint and Disinhibition scales, and Barratt Impulsiveness Scale (BIS-11: 3 sub-scales and total score).<br>
DOI: 10.14469/hpc/8369
title: SPIRIT Checklist: Children’s Oxygen Administration Strategies And Nutrition Trial (COAST-Nutrition): protocol for a Phase II randomised controlled trial

description: Required document when reporting clinical trial protocol
DOI: 10.14469/hpc/8370
title: COAST-Nutrition Extended Data

description: Case Report Forms Patient Information Sheet and Consent Forms Data Management
DOI: 10.6084/m9.figshare.13389040
title: Lava flows of Mt Etna, Italy: the 2019 eruption within the context of the last two decades (1999–2019)

description: UAVs have become a useful tool for natural hazard monitoring. In volcanic areas, they allow wider observations of the eruptive behaviour, with no risk for the operator. The SfM technique enables obtaining orthoimages of lava flows and a DEM in a short time. These data are also useful to estimate lava flow volumes and the mass output rate characterizing an eruption. We present the results of ten UAV surveys made during and after the 30 May – 6 June 2019 eruption of Etna volcano, projecting the data in a time context back until 1999. Orthoimages taken on different days allowed monitoring the morpho-structural evolution of the fissures, capturing the lava flows propagation and the accumulation of pyroclastic deposits. From 1999 to 2018, there were nine flank-eruptions and dozens of summit-eruptions, which for graphic simplicity have been grouped by year in the map. The resulting map represents the most updated of the recent lava flows of Etna.
DOI: 10.6084/m9.figshare.13389040.v1
title: Lava flows of Mt Etna, Italy: the 2019 eruption within the context of the last two decades (1999–2019)

description: UAVs have become a useful tool for natural hazard monitoring. In volcanic areas, they allow wider observations of the eruptive behaviour, with no risk for the operator. The SfM technique enables obtaining orthoimages of lava flows and a DEM in a short time. These data are also useful to estimate lava flow volumes and the mass output rate characterizing an eruption. We present the results of ten UAV surveys made during and after the 30 May – 6 June 2019 eruption of Etna volcano, projecting the data in a time context back until 1999. Orthoimages taken on different days allowed monitoring the morpho-structural evolution of the fissures, capturing the lava flows propagation and the accumulation of pyroclastic deposits. From 1999 to 2018, there were nine flank-eruptions and dozens of summit-eruptions, which for graphic simplicity have been grouped by year in the map. The resulting map represents the most updated of the recent lava flows of Etna.
DOI: 10.6084/m9.figshare.14465054.v1
title: From traditional to modern ‘full coverage’ geomorphological mapping: a study case in the Chienti river basin (Marche region, central Italy)

description: The present work contributes to the process of modernization of traditional geomorphological mapping, a fundamental tool for the assessment of the hazard degree of natural processes for the planning, of works and infrastructures. Starting from a traditional and detailed geomorphological survey and through elaborations in a GIS environment, this paper presents a multiscalar cartography model, characterized by a ‘full coverage’ representation of landforms. These characteristics make it possible to upscale or downscale processes and landforms and to use different information levels created in a hierarchical form. The test site for the experimentation is located on the Adriatic side of central Italy and is represented by a small catchment, about 13 km<sup>2</sup> large. All geomorphological features and information have been organized as elements and attributes within digital geomorphological information layers, following structured on a Digital Terrain Model derived from LiDAR; this new product is here proposed also as web-browser version.
DOI: 10.6084/m9.figshare.14465054
title: From traditional to modern ‘full coverage’ geomorphological mapping: a study case in the Chienti river basin (Marche region, central Italy)

description: The present work contributes to the process of modernization of traditional geomorphological mapping, a fundamental tool for the assessment of the hazard degree of natural processes for the planning, of works and infrastructures. Starting from a traditional and detailed geomorphological survey and through elaborations in a GIS environment, this paper presents a multiscalar cartography model, characterized by a ‘full coverage’ representation of landforms. These characteristics make it possible to upscale or downscale processes and landforms and to use different information levels created in a hierarchical form. The test site for the experimentation is located on the Adriatic side of central Italy and is represented by a small catchment, about 13 km<sup>2</sup> large. All geomorphological features and information have been organized as elements and attributes within digital geomorphological information layers, following structured on a Digital Terrain Model derived from LiDAR; this new product is here proposed also as web-browser version.
DOI: 10.15161/oar.it/73916
title: CovidStat project data

description: This record contains the daily updated data of the CovidStat project. CovidStat is a project carried out by the CovidStat Working Group at INFN, whose creation was promoted within the Italian National Institute of Nuclear Physics with the aim of making a statistical analysis of the data provided daily by the Civil Protection on the spread of the pandemic in Italy. CovidStat data can interactively be browsed at https://covid19.infn.it.
description: The software to process this Root TTree is in the related identifier. Be sure to use the right corresponding version, based on the data in which Root TTree was generated.
DOI: 10.5281/zenodo.5084699
title: Meteorological, catchment wetness, natural tracers and stable isotopes of water data in Schwingbach Environmental Observatory, Germany

description: Dataset includes the following high-resolution (3 h) variables in 2018 and 2019 : Meteorological data Discharge Soil moisture Water temperature pH Electrical conductivity stable isotopes of water
DOI: 10.5281/zenodo.5084698
title: Meteorological, catchment wetness, natural tracers and stable isotopes of water data in Schwingbach Environmental Observatory, Germany

description: Dataset includes the following high-resolution (3 h) variables in 2018 and 2019 : Meteorological data Discharge Soil moisture Water temperature pH Electrical conductivity stable isotopes of water
DOI: 10.5281/zenodo.4717439
title: ---To be update---On the Discoverability of npm Vulnerabilities Impacting Node.js Applications

description: This is a replication package for the study "On the Discoverability of npm Vulnerabilities Impacting Node.js Applications." For more information on how to understand the package structure, please read the README.md.
DOI: 10.5281/zenodo.4717438
title: ---To be update---On the Discoverability of npm Vulnerabilities Impacting Node.js Applications

description: This is a replication package for the study "On the Discoverability of npm Vulnerabilities Impacting Node.js Applications." For more information on how to understand the package structure, please read the README.md.
DOI: 10.25502/9h0b-st48/d
title: Effect of neem seed oil at different doses on insect pests of cabbage

description: Preliminary testing of plant extracts as insecticides in organic cultivation
DOI: 10.5517/ccdc.csd.cc21530c
title: CCDC 1881731: Experimental Crystal Structure Determination

description: Related Article: Subin Choi, Hyeonji Oh, Jeongwoo Sim, Eunsoo Yu, Seunghoon Shin, Cheol-Min Park|2020|Org.Lett.|22|5528|doi:10.1021/acs.orglett.0c01896
description: Related Article: Subin Choi, Jinhwi Park, Eunsoo Yu, Jeongwoo Sim, Cheol-Min Park|2020|Angew.Chem.,Int.Ed.|59|11886|doi:10.1002/anie.202003364
DOI: 10.5517/ccdc.csd.cc23m8cd
title: CCDC 1954933: Experimental Crystal Structure Determination

description: Related Article: Alexander Haseloer, Tamara Lützenburg, Joss Pepe Strache, Jörg Neudörfl, Ines Neundorf, Axel Klein|2021|ChemBioChem|22|694|doi:10.1002/cbic.202000564
description: Related Article: Axel Klein|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23m8df
title: CCDC 1954934: Experimental Crystal Structure Determination

description: Related Article: Alexander Haseloer, Tamara Lützenburg, Joss Pepe Strache, Jörg Neudörfl, Ines Neundorf, Axel Klein|2021|ChemBioChem|22|694|doi:10.1002/cbic.202000564
description: Related Article: Axel Klein|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23m8fg
title: CCDC 1954935: Experimental Crystal Structure Determination

description: Related Article: Alexander Haseloer, Tamara Lützenburg, Joss Pepe Strache, Jörg Neudörfl, Ines Neundorf, Axel Klein|2021|ChemBioChem|22|694|doi:10.1002/cbic.202000564
description: Related Article: Axel Klein|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc23m8xy
title: CCDC 1954950: Experimental Crystal Structure Determination

description: Related Article: Alexander Haseloer, Tamara Lützenburg, Joss Pepe Strache, Jörg Neudörfl, Ines Neundorf, Axel Klein|2021|ChemBioChem|22|694|doi:10.1002/cbic.202000564
description: Related Article: Axel Klein|2019|CSD Communication|||
DOI: 10.5517/ccdc.csd.cc25vy77
title: CCDC 2021889: Experimental Crystal Structure Determination

description: Related Article: Sofiane Hocine, Claire Montagnon, Jithender Reddy Vakiti, Jean-Marie Fourquez, Stephen Hanessian|2021|Eur.J.Org.Chem.|2021|274|doi:10.1002/ejoc.202001276
DOI: 10.5517/ccdc.csd.cc25vy88
title: CCDC 2021890: Experimental Crystal Structure Determination

description: Related Article: Sofiane Hocine, Claire Montagnon, Jithender Reddy Vakiti, Jean-Marie Fourquez, Stephen Hanessian|2021|Eur.J.Org.Chem.|2021|274|doi:10.1002/ejoc.202001276
DOI: 10.5517/ccdc.csd.cc26tj8v
title: CCDC 2050317: Experimental Crystal Structure Determination

description: Related Article: Philipp Dierks, Ayla Kruse, Olga S. Bokareva, Mohammed J. Al-Marri, Jens Kalmbach, Marc Baltrun, Adam Neuba, Roland Schoch, Stephan Hohloch, Katja Heinze, Michael Seitz, Oliver Kühn, Stefan Lochbrunner, Matthias Bauer|2021|Chem.Commun.|57|6640|doi:10.1039/D1CC01716K
DOI: 10.5517/ccdc.csd.cc26sx97
title: CCDC 2049729: Experimental Crystal Structure Determination

description: Related Article: Philipp Dierks, Ayla Kruse, Olga S. Bokareva, Mohammed J. Al-Marri, Jens Kalmbach, Marc Baltrun, Adam Neuba, Roland Schoch, Stephan Hohloch, Katja Heinze, Michael Seitz, Oliver Kühn, Stefan Lochbrunner, Matthias Bauer|2021|Chem.Commun.|57|6640|doi:10.1039/D1CC01716K
DOI: 10.5517/ccdc.csd.cc27wfh2
title: CCDC 2081944: Experimental Crystal Structure Determination

description: Related Article: Xian-Ting Cao, Su-Ning Wei, Hao-Tian Sun, Meng Li, Zuo-Ling Zheng, Guannan Wang|2021|RSC Advances|11|22000|doi:10.1039/D1RA04450H
DOI: 10.5281/zenodo.5079843
title: DeepCube: Africa MiniCubes

description: The <strong>DeepCube Africa Minicubes</strong> dataset has been desinged for prototyping models for forecasting drought impacts in Africa. It pairs high resolution remotely sensed spectral bands with weather observations into sparsely sampled minicubes of 3.84x3.84Km. Deep Cube Forecasting Drought and Heat Impacts in Africa: <strong>Questions to be tackled using this dataset</strong> Can we predict localized impacts of meteorological drought and heat waves in sub-Saharan Africa based on multivariate Earth Observation and meteorological historical data analysis? What are the anticipated long-term effects of drought and heat, i.e. memory and lag effects? The data is shaped into minicubes in order to facilitate the training of deep learning spatio-temporal models that make use of both spatial and temporal dependencies (convolutions and recurrency, e.g., video prediction models). This release contains 2.859 demonstrator minicubes out of a parent set of 50.000 cubes that have been smart sampled in the African continent. Find more on DeepCube data cubes
DOI: 10.5281/zenodo.5079842
title: DeepCube: Africa MiniCubes

description: The <strong>DeepCube Africa Minicubes</strong> dataset has been desinged for prototyping models for forecasting drought impacts in Africa. It pairs high resolution remotely sensed spectral bands with weather observations into sparsely sampled minicubes of 3.84x3.84Km. Deep Cube Forecasting Drought and Heat Impacts in Africa: <strong>Questions to be tackled using this dataset</strong> Can we predict localized impacts of meteorological drought and heat waves in sub-Saharan Africa based on multivariate Earth Observation and meteorological historical data analysis? What are the anticipated long-term effects of drought and heat, i.e. memory and lag effects? The data is shaped into minicubes in order to facilitate the training of deep learning spatio-temporal models that make use of both spatial and temporal dependencies (convolutions and recurrency, e.g., video prediction models). This release contains 2.859 demonstrator minicubes out of a parent set of 50.000 cubes that have been smart sampled in the African continent. Find more on DeepCube data cubes
DOI: 10.6084/m9.figshare.14938332
title: model_results_code_and_data.zip

description: Cellular automta land use modelling ensemble for the R environment, based on the SIMLANDER framework. <br>
DOI: 10.6084/m9.figshare.14938332.v1
title: model_results_code_and_data.zip

description: Cellular automta land use modelling ensemble for the R environment, based on the SIMLANDER framework. <br>
DOI: 10.25502/zdxz-gb69/d
title: Bioassay of serial doses of neem seed oil against cabbage and turnip aphids

description: Preliminary testing of plant extracts as insecticides in organic cultivation
DOI: 10.25646/8779
title: Tagesdaten-CSV aus dem DIVI-Intensivregister

description: Die Tagesdaten-CSV entspricht einem Auszug der Daten des DIVI-Intensivregisters. Die Datei enthält eine Aggregation der aktuellsten Meldungen pro Landkreis. Es werden die aktuell gemeldeten Anzahlen der COVID-19 Intensivfälle sowie die gemeldeten intensivmedizinischen Behandlungskapazitäten angezeigt. Die Tagesdaten-CSV liefert dabei ausschließlich einen Blick auf die Daten gemäß dem Stand des betrachteten Tages. Die Daten sind im situationsbedingten Kontext aufbereitet, damit sind verschiedene Tagesdaten-CSVs u.U. nicht direkt miteinander vergleichbar. Die aktuellsten Meldungen werden im gewählten Betrachtungszeitfenster über alle Meldebereiche und Standorte aufsummiert. Weitere Informationen sind zu finden unter https://www.intensivregister.de/#/faq
DOI: 10.5281/zenodo.5084806
title: Cellular crowd control: overriding endogenous cell coordination makes cell migration more susceptible to external programming

description: The uploaded files include 1) raw data used to generate plots and graphs included in the manuscript, 2) the total raw dataset from all experiments, 3) representative raw videos per experimental condition and data corresponding to each of the videos, and 4) Matlab scripts written by the researchers used for data analysis.
DOI: 10.5281/zenodo.4456145
title: Cellular crowd control: overriding endogenous cell coordination makes cell migration more susceptible to external programming

description: The uploaded files include 1) raw data used to generate plots and graphs included in the manuscript, 2) the total raw dataset from all experiments, 3) representative raw videos per experimental condition and data corresponding to each of the videos, and 4) Matlab scripts written by the researchers used for data analysis.
DOI: 10.5281/zenodo.5040265
title: Characteristics of AIFA registries up to 2019

description: Extracted information from AIFA registries up to December 2019 about the background to establishment and construct of the registry for each product/indication including key elements of regulatory approval from EMA. Identifying those that are orphan medicinal products.
DOI: 10.5281/zenodo.5040264
title: Characteristics of AIFA registries up to 2019

description: Extracted information from AIFA registries up to December 2019 about the background to establishment and construct of the registry for each product/indication including key elements of regulatory approval from EMA. Identifying those that are orphan medicinal products.
DOI: 10.6084/m9.figshare.9273488
title: Chemical and biological immobilization mechanisms of potentially toxic elements in biochar-amended soils

description: The application of biochars for the remediation of water and soils contaminated with potentially toxic elements (PTEs) has seen a recent growing interest. The mechanisms of chemical immobilization of PTEs with biochars in aqueous media have been well defined. However, immobilization mechanisms by which biochars interact with PTEs in soil matrix are more complex. The biological immobilization mechanisms and their interactions with PTEs in biochar-amended soils are not as well defined. This review presents an overview of factors governing interactions of biochars with PTEs as well as the synergistic effect of biochars and microorganisms in biological immobilization processes. The effectiveness of biochars in improvement of microbial immobilization of PTEs mainly depends on biochar properties, application rates, and soil environments such as organic matter content, clay type and content, pH and redox potential. Although some modified biochars appear to be better than the pristine biochars for immobilization of PTEs, their potential adverse impacts on soil microbial activity should be considered. This review highlights the most common analytical methods to discover molecular interaction mechanisms between biochar and PTEs and future research areas required for the understanding of biochar-PTE interactions in polluted soil systems.