cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.19145110
title: Code and data used for analyses from The biogeography of community assembly: latitude and predation drive variation in community trait distribution in a guild of epifaunal crustaceans

description: Zip file including raw trait, environmental, and community data, code for conducting analyses, and a spreadsheet summarizing model selection
DOI: 10.6084/m9.figshare.19145110.v1
title: Code and data used for analyses from The biogeography of community assembly: latitude and predation drive variation in community trait distribution in a guild of epifaunal crustaceans

description: Zip file including raw trait, environmental, and community data, code for conducting analyses, and a spreadsheet summarizing model selection
DOI: 10.5281/zenodo.6021442
title: PatchGastricADC22

description: Computational histopathology has made significant strides in the past few years, slowly getting closer to clinical adoption. One area of benefit would be the automatic generation of diagnostic reports from H\&E-stained whole slide images which would further increase the efficiency of the pathologists' routine diagnostic workflows. In this study, we compiled a dataset (PatchGastricADC22) of histopathological captions of stomach adenocarcinoma endoscopic biopsy specimens, which we extracted from diagnostic reports and paired with patches extracted from the associated whole slide images. The dataset contains a variety of gastric adenocarcinoma subtypes. We trained a baseline attention-based model to predict the captions from features extracted from the patches and obtained promising results. We make the captioned dataset of 262K patches publicly available.
DOI: 10.5281/zenodo.6022140
title: YAGO knowledge base

description: YAGO is a knowledge base, i.e., a database with knowledge about the real world. YAGO contains both entities (such as movies, people, cities, countries, etc.) and relations between these entities (who played in which movie, which city is located in which country, etc.). All in all, YAGO contains more than 50 million entities and 2 billion facts. YAGO arranges its entities into classes: Elvis Presley belongs to the class of people, Paris belongs to the class of cities, and so on. These classes are arranged in a taxonomy: The class of cities is a subclass of the class of populated places, this class is a subclass of geographical locations, etc. YAGO also defines which relations can hold between which entities: birthPlace, e.g., is a relation that can hold between a person and a place. The definition of these relations, together with the taxonomy is called the ontology. For more information, see https://yago-knowledge.org
description: This is the version of YAGO 4 that is limited to Wikipedia. See https://yago-knowledge.org for other versions.
DOI: 10.5281/zenodo.6022139
title: YAGO knowledge base

description: YAGO is a knowledge base, i.e., a database with knowledge about the real world. YAGO contains both entities (such as movies, people, cities, countries, etc.) and relations between these entities (who played in which movie, which city is located in which country, etc.). All in all, YAGO contains more than 50 million entities and 2 billion facts. YAGO arranges its entities into classes: Elvis Presley belongs to the class of people, Paris belongs to the class of cities, and so on. These classes are arranged in a taxonomy: The class of cities is a subclass of the class of populated places, this class is a subclass of geographical locations, etc. YAGO also defines which relations can hold between which entities: birthPlace, e.g., is a relation that can hold between a person and a place. The definition of these relations, together with the taxonomy is called the ontology. For more information, see https://yago-knowledge.org
description: This is the version of YAGO 4 that is limited to Wikipedia. See https://yago-knowledge.org for other versions.
DOI: 10.5281/zenodo.5844489
title: A comprehensive and synthetic dataset for global, regional and national greenhouse gas emissions by sector 1970-2018 with an extension to 2019

description: Comprehensive and reliable information on anthropogenic sources of greenhouse gas emissions is required to track progress towards keeping warming well below 2°C as agreed upon in the Paris Agreement. Here we provide a dataset on anthropogenic GHG emissions 1970-2019 with a broad country and sector coverage. We build the dataset from recent releases from the “Emissions Database for Global Atmospheric Research” (EDGAR) for CO<sub>2</sub> emissions from fossil fuel combustion and industry (FFI), CH<sub>4</sub> emissions, N<sub>2</sub>O emissions, and fluorinated gases and use a well-established fast-track method to extend this dataset from 2018 to 2019. We complement this with information on net CO<sub>2</sub> emissions from land use, land-use change and forestry (LULUCF) from three available bookkeeping models.
description: The metadata in the previous version (#4) indicated that AR5 100 year global warming potentials (GWPs) were applied. This was incorrect. The metadata has been corrected, and both AR5 and AR6 100 year GWPs are now included as variables for convenient switching between metrics.
DOI: 10.6084/m9.figshare.19145153
title: Figure 2. Hofstede Insights plots for different countries from An exploration of the political, social, economic and cultural factors affecting how different global regions initially reacted to the COVID-19 pandemic

description: Based on data generated from the Hofstede Insights webpage: https://www.hofstede-insights.com/
DOI: 10.6084/m9.figshare.19145153.v1
title: Figure 2. Hofstede Insights plots for different countries from An exploration of the political, social, economic and cultural factors affecting how different global regions initially reacted to the COVID-19 pandemic

description: Based on data generated from the Hofstede Insights webpage: https://www.hofstede-insights.com/
DOI: 10.6084/m9.figshare.19145156
title: Figure 1. Cumulative COVID-19 cases and deaths for 15 Feb-15 Jul 2020 from An exploration of the political, social, economic and cultural factors affecting how different global regions initially reacted to the COVID-19 pandemic

description: Based on data extracted from Worldometer: https://www.worldometers.info/coronavirus/
DOI: 10.5281/zenodo.6022381
title: Dataset to submitted manuscript "Imaging fluorescence blinking of a mitochondrial localization probe - cellular localization probes turned into multi-functional sensors"

description: <strong>This folder contains all raw data underlying the results presented in a manuscript, submitted to </strong><strong><em>Advanced Healthcare Materials</em>, and entitled:</strong> <em><strong>Imaging fluorescence blinking of a mitochondrial localization probe - cellular localization probes turned into multi-functional sensors</strong></em> <strong>Authored by:</strong> Zhixue Du<sup>a</sup><em>, </em>Joachim Piguet<sup>a,+</sup>, Gleb Baryshnikov<sup>b,+</sup>, Johan Tornmalm<sup>a</sup>, Baris Demirbay<sup>a</sup>, Hans Ågren<sup>b</sup>, Jerker Widengren<sup>a,*</sup> <sup>a</sup> Royal Institute of Technology (KTH), Experimental Biomolecular Physics, Dept. Applied Physics, Albanova Univ Center 106 91 Stockholm, Sweden <sup>b</sup> Royal Institute of Technology (KTH), Dept Theroretical Chemistry and Biology, Albanova Univ Center 106 91 Stockholm, Sweden <sup>+</sup> Contributed equally * Corresponding author: Email: jwideng@kth.se, Phone: +46-8-7907813 <strong>The data files are grouped into the different techniques used to generate them, and refer to the figures/tables in the manuscript where the extracted results are presented. </strong> <strong>ABSTRACT</strong> Mitochondrial membranes and their microenvironments directly influence cellular metabolic states but are difficult to probe on site. Here, we demonstrate a robust and straightforward strategy, transforming the widely used mitochondrial membrane localization fluorophore 10-Nonyl Acridine Orange (NAO) into a multi-functional probe of membrane microenvironments. By monitoring the blinking kinetics of NAO in small unilamellar vesicles, and by computational simulations, we found that NAO exhibits prominent reversible singlet-triplet state transitions and can act as a light-induced Lewis acid forming a red-emissive doublet radical. The resulting blinking kinetics are highly environment sensitive, specifically reflecting local membrane oxygen concentrations, redox conditions, membrane charge, fluidity and lipid compositions, and can also be imaged in live cells, in a spatially resolved manner. They also reflect hydroxyl ion dependent transitions to and from the fluorophore doublet radical, closely coupled to proton transfer events in the membranes, local pH, and two- and three-dimensional buffering properties on and above the membranes. Generally, by the demonstrated blinking imaging strategy existing fluorophore markers can be transformed into multi-parametric microenvironmental sensors. The strategy makes it possible to image local cellular conditions highly relevant to cancer, metabolic and infectious diseases, thereby providing a basis for cellular diagnostics and for fundamental membrane studies.
DOI: 10.5255/ukda-sn-855279
title: Adapted Sex Offender Treatment for Men With Learning Disabilities, 2016-2017

description: This dataset includes 5 transcripts from qualitative interviews with program architects at phase 1 of the study and 33 transcripts from qualitative interviews at phase 2 of the study. There are 11 interviews with patients (one in two parts) and a further 22 transcripts of interviews with professionals and carers.
DOI: 10.5281/zenodo.6021701
title: Machine Learning based scratches on printed paper detection, in high-speed printing systems [Dataset]

description: Printing industry rapidly is adopting digital technologies and the requirements in terms of speed and print quality are also becoming more demanding. The is a wide range of possible quality defects in printed paper. This makes it impossible to have humans inspect the printed paper for such a big amount of possible quality defects at the high-speeds the printouts are produced. Printing industry is not taking advantage of the Artificial Intelligence to detect defects in printed paper at speed without human intervention. It is possible to generate millions of images (captures) with printed content from a printing system every day. Most of these images will not have any defect but some other will and can be used to generate a data set to be used in a machine learning system. The intention of this research work is to find ways artificial intelligence can help on automatically detecting defects on printed paper in a printing system and classifying them, without human intervention. Focusing on scratches, I’ve explored what are the actual proposals and solutions, and how machine learning can help improving them by using datasets with different techniques, implementing possible solutions and comparing the obtained results.
DOI: 10.5281/zenodo.6022839
title: SG - January 2022

description: Measurements of SG (Global) in January 2022 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6021700
title: Machine Learning based scratches on printed paper detection, in high-speed printing systems [Dataset]

description: Printing industry rapidly is adopting digital technologies and the requirements in terms of speed and print quality are also becoming more demanding. The is a wide range of possible quality defects in printed paper. This makes it impossible to have humans inspect the printed paper for such a big amount of possible quality defects at the high-speeds the printouts are produced. Printing industry is not taking advantage of the Artificial Intelligence to detect defects in printed paper at speed without human intervention. It is possible to generate millions of images (captures) with printed content from a printing system every day. Most of these images will not have any defect but some other will and can be used to generate a data set to be used in a machine learning system. The intention of this research work is to find ways artificial intelligence can help on automatically detecting defects on printed paper in a printing system and classifying them, without human intervention. Focusing on scratches, I’ve explored what are the actual proposals and solutions, and how machine learning can help improving them by using datasets with different techniques, implementing possible solutions and comparing the obtained results.
DOI: 10.5281/zenodo.6022838
title: SG - January 2022

description: Measurements of SG (Global) in January 2022 Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022845
title: LPL1 - January 2022

description: Measurements of LPL1 (Teide NP) in January 2022Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022844
title: LPL1 - January 2022

description: Measurements of LPL1 (Teide NP) in January 2022Tenerife Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022853
title: LPL2 - January 2022

description: Measurements of LPL2 (Caldera de Taburiente NP) in January 2022La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022852
title: LPL2 - January 2022

description: Measurements of LPL2 (Caldera de Taburiente NP) in January 2022La Palma Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022861
title: LPL3 - January 2022

description: Measurements of LPL3 (Madeira East Coast) in January 2022Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022860
title: LPL3 - January 2022

description: Measurements of LPL3 (Madeira East Coast) in January 2022Madeira Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022865
title: LPL4 - January 2022

description: Measurements of LPL4 (Ilha do Corvo) in January 2022Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022864
title: LPL4 - January 2022

description: Measurements of LPL4 (Ilha do Corvo) in January 2022Corvo Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022871
title: LPL5 - January 2022

description: Measurements of LPL5 (Tejeda) in January 2022Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022870
title: LPL5 - January 2022

description: Measurements of LPL5 (Tejeda) in January 2022Gran Canaria Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022881
title: LPL8 - January 2022

description: Measurements of LPL8 (Timanfaya NP) in January 2022Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022880
title: LPL8 - January 2022

description: Measurements of LPL8 (Timanfaya NP) in January 2022Lanzarote Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022885
title: UEX1 - January 2022

description: Measurements of UEX1 (University of Extremadura) in January 2022Extremadura Light Pollution Laboratorie info
DOI: 10.5281/zenodo.6022884
title: UEX1 - January 2022

description: Measurements of UEX1 (University of Extremadura) in January 2022Extremadura Light Pollution Laboratorie info
DOI: 10.5281/zenodo.4727796
title: Impact of COVID-19 on Higher Education - Reviewed Literature Overview

description: This database contains the compilation of papers on the impact of COVID-19 on Higher Education reviewed in “M. Huth, B. Meyer, L. Westphal, M. Fischer, and A. Cominola. The Impact of COVID-19 on Higher Education – Are Blended Learning Formats the Way Forward? A Review of Best Practices. Proceedings of the SEFI 49th Annual Conference, 2021, Société Européenne pour la Formation des Ingénieurs (SEFI)."
DOI: 10.5281/zenodo.4727795
title: Impact of COVID-19 on Higher Education - Reviewed Literature Overview

description: This database contains the compilation of papers on the impact of COVID-19 on Higher Education reviewed in “M. Huth, B. Meyer, L. Westphal, M. Fischer, and A. Cominola. The Impact of COVID-19 on Higher Education – Are Blended Learning Formats the Way Forward? A Review of Best Practices. Proceedings of the SEFI 49th Annual Conference, 2021, Société Européenne pour la Formation des Ingénieurs (SEFI)."
DOI: 10.5445/ir/1000142476
title: Our (in)Secure Web: Understanding Update Behavior of Websites and Its Impact on Security

description: Software updates take an essential role in keeping IT environments secure. If service providers delay or do not install updates, it can cause unwanted security implications for their environments. This paper conducts a large-scale measurement study of the update behavior of websites and their utilized software stacks. Across 18 months, we analyze over 5.6M websites and 246 distinct client- and server-side software distributions. We found that almost all analyzed sites use outdated software.
DOI: 10.5281/zenodo.6022970
title: Transient Na+-binding site is essential for transport mechanism in the glutamate transporter homologue GltTk

description: Dataset to reproduce MD simulations described in "Transient Na+-binding site is essential for transport mechanism in the glutamate transporter homologue GltTk".
DOI: 10.5281/zenodo.6022969
title: Transient Na+-binding site is essential for transport mechanism in the glutamate transporter homologue GltTk

description: Dataset to reproduce MD simulations described in "Transient Na+-binding site is essential for transport mechanism in the glutamate transporter homologue GltTk".
DOI: 10.21227/chp0-5x97
title: Inverter Switching Vectors Data of An FCS-MPC Driven Induction Machine for Healthy and Faulty Conditions

description: Switching vectors of an inverter with model predictive control were collected for different conditions of an induction machine. The induction machine had a rated speed of w=3000 rpm and a rated torque of T=1.20 N·m. The switching vectors were recorded as data series for the induction machine operating at different combinations of speed and torque at healthy and faulty states. Each data series consisted of 22000 switching vectors. Inter-turn short circuit fault was introduced over 2 turns (out of 104 turns) in one phase of the machine. Collected data series were segregated into two sets such that the first set was for training and validation, and the second set was for the test. Each data series in the first set was further split into two data series. The first 70% of data points constituted a data series for training, and the remaining 30% constituted a data series for validation.
DOI: 10.5281/zenodo.5558897
title: OpenHands v1 : Raw SLR pose datasets

description: Unlabelled Indian Sign Language Pose datasets for self-supervised pretraining.
DOI: 10.5281/zenodo.5558896
title: OpenHands v1 : Raw SLR pose datasets

description: Unlabelled Indian Sign Language Pose datasets for self-supervised pretraining.
DOI: 10.5281/zenodo.6023048
title: Dataset related to article: The role of diet on the risk of dementia in the oldest old: The Monzino 80-plus population-based study

description: Pseudonimized single subject data relative to the results reported in the article, in .xlsx format
DOI: 10.5281/zenodo.6023047
title: Dataset related to article: The role of diet on the risk of dementia in the oldest old: The Monzino 80-plus population-based study

description: Pseudonimized single subject data relative to the results reported in the article, in .xlsx format
DOI: 10.24381/cds.a2d012e5
title: Winter windstorm indicators for Europe from 1979 to 2021 derived from reanalysis
DOI: 10.5281/zenodo.6022899
title: Animal welfare: a survey of the opinion of farmers and consumers in Sardinia

description: Datasets and survey texts regarding the opinion on animal welfare of farmers and consumers in Sardinia
DOI: 10.48370/ofd/ks5moj
title: Caloscypha fulgens (Pers.: Fr.) Boud., 265

description: Fungarium Macromycetes
DOI: 10.14459/2024mp1734703
title: A Multifaceted Look at Starlink Performance

description: The dataset accompanies the research article “A Multifaceted Look at Starlink Performance” in Proceedings of the The Web Conference (WWW) 2024
DOI: 10.6084/m9.figshare.15047626.v1
title: Additional file 5 of Function of ORFC of the polyketide synthase gene cluster on fatty acid accumulation in Schizochytrium limacinum SR21

description: Additional file 5: Table S6. The specific values of significant genes (log2 (fold change)) and their enriched pathways compared to the wild-type strain. WT, DH+ and ER+ indicate the wild-type strain, DH-overexpression strain and ER-overexpressed strain, respectively. FC means fold change.
DOI: 10.6084/m9.figshare.15047626
title: Additional file 5 of Function of ORFC of the polyketide synthase gene cluster on fatty acid accumulation in Schizochytrium limacinum SR21

description: Additional file 5: Table S6. The specific values of significant genes (log2 (fold change)) and their enriched pathways compared to the wild-type strain. WT, DH+ and ER+ indicate the wild-type strain, DH-overexpression strain and ER-overexpressed strain, respectively. FC means fold change.
DOI: 10.6084/m9.figshare.19766063.v1
title: Additional file 1 of Causal relationship between physical activity, leisure sedentary behaviors and COVID-19 risk: a Mendelian randomization study

description: Additional file 1: Supplementary tables.  Table S1. Instrument variables of MVPA. Table S2. Instrument variables of accelerations assessed physical activity. Table S3. Instrument variables of fraction accelerations &gt; 425 milli-gravities. Table S4. Instrument variables of television watching. Table S5. Instrument variables of computer used. Table S6. Instrument variables of driving. Table S7.MR estimates of the causal association between physical activity and leisure sedentary behaviors and the risk of COVID-19.
DOI: 10.5517/ccdc.csd.cc2cphrb
title: CCDC 2195412: Experimental Crystal Structure Determination

description: Related Article: Gavin R. Kiel, Harrison M. Bergman, Adrian E. Samkian, Nathaniel J. Schuster, Rex C. Handford, August J. Rothenberger, Rafael Gomez-Bombarelli, Colin Nuckolls, T. Don Tilley|2022|J.Am.Chem.Soc.|144|23421|doi:10.1021/jacs.2c09555
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.11377743
title: MOESM1 of MicroRNA-338-3p suppresses ovarian cancer cells growth and metastasis: implication of Wnt/catenin beta and MEK/ERK signaling pathways

description: Additional file 1. KEGG Pathways Enrichment Analysis results.
DOI: 10.6084/m9.figshare.21864372
title: Constraints on MTZ water content from joint inversion of diurnal variations and magnetospheric signals.

description: Data used in Zhang et al. 2023: Constraints on MTZ water content from joint inversion of diurnal variations and magnetospheric signals.
<br>
1. C_global_mean.mat
a Matlab struct class for global C resoponses, including:
data: Complex C responses, unit km
period: unit s 
<br>
2. DV.mat
a Matlab struct class for DV spatial modes, including:
data: V is the three-component magnetic field.
 Vsd is standard deviation (error) for each component.
siteidx: the index of observatories of which the vertical magnetic field is inverted.
lat: latitude of observatories. unit deg
lon: longitude of observatories. unit deg
period: unit s
DOI: 10.5517/ccdc.csd.cc2h4ns3
title: CCDC 2298395: Experimental Crystal Structure Determination

description: Related Article: Rasha K. Al-Shewiki, Saddam Weheabby, Nell Uhlig, Marcus Korb, Tom Pester, Stefan Zahn, S. Grecchi, P. R. Mussini, Tobias Rüffer, Heinrich Lang|2024|Dalton Trans.|53|3836|doi:10.1039/D3DT03950A
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.