cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.48370/ofd/hsr8ja
title: Lepus europaeus - 1244, Zoological collection of the Mammal Research Institute, PAS

description: Lepus europaeus (European hare) from Zoological collection of the Mammal Research Institute PAS. Collected 1979-01-14, in: Stary Kornin, Bielsk Plain, Poland.
DOI: 10.48370/ofd/n3mnus/whrigq
title: MRIPAS_coll_1244_LepusEuropaeus_1979_scan.jpg

description: :unav
DOI: 10.48370/ofd/n3mnus
title: Lepus europaeus - 1244, Zoological collection of the Mammal Research Institute, PAS

description: Lepus europaeus (European hare) from Zoological collection of the Mammal Research Institute PAS. Collected 1979-01-14, in: Stary Kornin, Bielsk Plain, Poland.
DOI: 10.6084/m9.figshare.13475343.v1
title: Peak_Model

description: Data used to assess the effect of climate on the rut peak date of red deer in the Doñana population.
DOI: 10.6084/m9.figshare.13475343
title: Peak_Model

description: Data used to assess the effect of climate on the rut peak date of red deer in the Doñana population.
DOI: 10.48370/ofd/lvy58o/47hrjg
title: MRIPAS_coll_1244_LepusEuropaeus_1979_scan.jpg

description: :unav
DOI: 10.48370/ofd/lvy58o
title: Lepus europaeus - 1244, Zoological collection of the Mammal Research Institute, PAS

description: Lepus europaeus (European hare) from Zoological collection of the Mammal Research Institute PAS. Collected 1979-01-14, in: Stary Kornin, Bielsk Plain, Poland.
DOI: 10.6084/m9.figshare.13475361
title: Imates_Model

description: Data set used to assess the effect of climate on the opportunity for sexual selection (Imates) of the red deer population in Doñana National Reserve.
DOI: 10.6084/m9.figshare.13475361.v1
title: Imates_Model

description: Data set used to assess the effect of climate on the opportunity for sexual selection (Imates) of the red deer population in Doñana National Reserve.
DOI: 10.48370/ofd/ltqetf/opwmmw
title: MRIPAS_coll_1244_LepusEuropaeus_1979_scan.jpg

description: :unav
DOI: 10.48370/ofd/ltqetf
title: Lepus europaeus - 1244, Zoological collection of the Mammal Research Institute, PAS

description: Lepus europaeus (European hare) from Zoological collection of the Mammal Research Institute PAS. Collected 1979-01-14, in: Stary Kornin, Bielsk Plain, Poland.
DOI: 10.48370/ofd/o43cmc/zfagdl
title: MRIPAS_coll_1244_LepusEuropaeus_1979_scan.jpg

description: :unav
DOI: 10.48370/ofd/o43cmc
title: Lepus europaeus - 1244, Zoological collection of the Mammal Research Institute, PAS

description: Lepus europaeus (European hare) from Zoological collection of the Mammal Research Institute PAS. Collected 1979-01-14, in: Stary Kornin, Bielsk Plain, Poland.
DOI: 10.6084/m9.figshare.13475379
title: Climate data

description: Data set used to find the best climate window for responses variables in slidding window analysis.
DOI: 10.6084/m9.figshare.13475406
title: NDVI_dataset

description: Data set used to find the best window for responses variables in slidding window analysis.
DOI: 10.6084/m9.figshare.13475406.v1
title: NDVI_dataset

description: Data set used to find the best window for responses variables in slidding window analysis.
DOI: 10.6084/m9.figshare.13475274.v1
title: RNA-sequencing of IPF-CM

description: N-HLFs cultured on IPF-CM vs. N-CM, as previously published in Respirology by Epstein Shochet et al 2018doi: 10.1111/resp.13287
DOI: 10.6084/m9.figshare.13475421
title: Roaring_window

description: Data set used for slidding window analysis.
DOI: 10.6084/m9.figshare.13475421.v1
title: Roaring_window

description: Data set used for slidding window analysis.
DOI: 10.48370/ofd/uo4fum
title: Wiechlina łąkowa (Poa pratensis L. s. str.), 2892

description: Herbarium
DOI: 10.6084/m9.figshare.13475439.v1
title: Peak_window

description: Data set used in slidding window analysis.
DOI: 10.6084/m9.figshare.13475439
title: Peak_window

description: Data set used in slidding window analysis.
DOI: 10.6084/m9.figshare.13475451
title: Imates_window

description: Data set for slidding window analysis.
DOI: 10.6084/m9.figshare.13475451.v1
title: Imates_window

description: Data set for slidding window analysis.
DOI: 10.5519/qd.h6vwk5zr
title: Query on the Natural History Museum Data Portal (data.nhm.ac.uk) (3119 records)
DOI: 10.48370/ofd/cqm4al/yc8txi
title: MRIPAS_coll_824_LepusEuropaeus_1961_scan.jpg

description: :unav
DOI: 10.48370/ofd/cqm4al
title: Lepus europaeus - 824, Zoological collection of the Mammal Research Institute, PAS

description: Lepus europaeus (European hare) from Zoological collection of the Mammal Research Institute PAS. Collected 1961-12-17, in: Stare Berezowo, Bielsk Plain, Poland.
DOI: 10.48370/ofd/lnfoow/u6zcjf
title: IBL_coll_190_MicromysMinutus_1946_scan.jpg

description: :unav
DOI: 10.48370/ofd/lnfoow
title: Micromys minutus - 190, Zoological collection of the Mammal Research Institute, PAS

description: Micromys minutus (Eurasian harvest mouse) from Zoological collection of the Mammal Research Institute PAS. Collected 1946-10-09, in: Białowieża National Park, Poland.
DOI: 10.6084/m9.figshare.13475400
title: Supplementary Material for: The Involvement of Chronic Kidney Disease and Acute Kidney Injury in Disease Severity and Mortality in Patients with COVID-19: A Meta-Analysis

description: <b><i>Background:</i></b> A meta-analysis was performed to evaluate the association of chronic kidney disease (CKD) and acute kidney injury (AKI) with the clinical prognosis of patients with coronavirus disease 2019 (COVID-19). <b><i>Methods:</i></b> The PubMed, EMBASE, Cochrane Library, medRxiv, Social Science Research Network, and Research Square databases (from December 1, 2019 to May 15, 2020) were searched to identify studies that reported the associations of CKD/AKI and disease severity/mortality. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated and meta-regression was performed. <b><i>Results:</i></b> In total, 42 studies enrolling 8,932 participants were included in this meta-analysis. The quality of most included studies was moderate to high. Compared with patients without previously diagnosed CKD, those with CKD had a significantly increased risk of progressing to a severe condition (OR 2.31, 95% CI 1.64–3.24) or death (OR 5.11, 95% CI 3.36–7.77). Similarly, compared with patients without AKI, those with AKI had a significantly increased risk of progressing to a severe condition (OR 11.88, 95% CI 9.29–15.19) or death (OR 30.46, 95% CI 18.33–50.59). Compared with patients with previously diagnosed CKD, those with AKI were more likely to progress to a severe condition (<i>p</i><sub>group</sub> &lt; 0.001, <i>I</i><sup>2</sup> = 98.3%) and even to death (<i>p</i><sub>group</sub> &lt; 0.001, <i>I</i><sup>2</sup> = 96.5%). Age had a significant impact on the association between CKD and disease severity (<i>p</i> = 0.001) but had no impact on the associations between AKI and disease severity (<i>p</i> = 0.80), between CKD and mortality (<i>p</i> = 0.51), or between AKI and mortality (<i>p</i> = 0.86). Four important complications (cardiac injury, shock, acute respiratory distress syndrome, and liver injury) did not significantly affect the associations between CKD/AKI and disease severity/mortality, indicating that CKD/AKI may be independent clinical prognostic indicators for patients with COVID-19. <b><i>Conclusions:</i></b> In COVID-19 patients, CKD/AKI was associated with worse outcomes compared with those without CKD/AKI. AKI was associated with higher risks of severity and mortality than CKD.
DOI: 10.6084/m9.figshare.13475562
title: Supplementary Material for: Physical Activity, Screen Time, and Sleep Duration of Children Aged 6–9 Years in 25 Countries: An Analysis within the WHO European Childhood Obesity Surveillance Initiative (COSI) 2015–2017

description: <b><i>Background:</i></b> Children are becoming less physically active as opportunities for safe active play, recreational activities, and active transport decrease. At the same time, sedentary screen-based activities both during school and leisure time are increasing. <b><i>Objectives:</i></b> This study aimed to evaluate physical activity (PA), screen time, and sleep duration of girls and boys aged 6–9 years in Europe using data from the WHO European Childhood Obesity Surveillance Initiative (COSI). <b><i>Method:</i></b> The fourth COSI data collection round was conducted in 2015–2017, using a standardized protocol that included a family form completed by parents with specific questions about their children’s PA, screen time, and sleep duration. <b><i>Results:</i></b> Nationally representative data from 25 countries was included and information on the PA behaviour, screen time, and sleep duration of 150,651 children was analysed. Pooled analysis showed that: 79.4% were actively playing for &gt;1 h each day, 53.9% were not members of a sport or dancing club, 50.0% walked or cycled to school each day, 60.2% engaged in screen time for &lt;2 h/day, and 84.9% slept for 9–11 h/night. Country-specific analyses of these behaviours showed pronounced differences, with national prevalences in the range of 61.7–98.3% actively playing for &gt;1 h/day, 8.2–85.6% were not members of a sport or dancing club, 17.7–94.0% walked or cycled to school each day, 32.3–80.0% engaged in screen time for &lt;2 h/day, and 50.0–95.8% slept for 9–11 h/night. <b><i>Conclusions:</i></b> The prevalence of engagement in PA and the achievement of healthy screen time and sleep duration are heterogenous across the region. Policymakers and other stakeholders, including school administrators and parents, should increase opportunities for young people to participate in daily PA as well as explore solutions to address excessive screen time and short sleep duration to improve the overall physical and mental health and well-being of children.
DOI: 10.48370/ofd/jsw0ps
title: Skrzyp zimowy (Equisetum hyemale L.), 9066

description: Herbarium
DOI: 10.6084/m9.figshare.13475463
title: Supplementary Material for: Weight Status and BMI-Related Traits in Adolescent Friendship Groups and Role of Sociodemographic Factors: The European IDEFICS/I.Family Cohort

description: <b><i>Background:</i></b> During adolescence, health behaviors and weight status are increasingly influenced by friendship and peer networks. This paper examines resemblances in weight-related characteristics and how they differ by sociodemographic factors. <b><i>Methods:</i></b> Over 3,000 friendships were reported by 1,603 adolescents, aged 11–16 years, who participated in the school-based I.Family study in 6 European countries. Each “source child” named 1–10 friends for whom standardized weight-related traits were available in the same survey. The mean value of the friends’ traits weighted by time spent together was calculated, and related to the source child’s trait. Country, age and sex of the source child, parental education, and immigrant background were considered for confounding and moderation. <b><i>Results:</i></b> Source children’s <i>z</i>-scores of body fat percent and BMI were positively associated with their friends’ characteristics, in particular if they had highly educated parents. Positive associations were also found regarding the frequency of fast-food consumption, impulsivity, screen time, preference for sugar-sweetened foods, and hours spent in sports clubs, in increasing order of effect size. Additionally, correlations were observed between friends’ cognitive and school functioning and being bullied. No associations were seen for a preference for high-fat foods, weight concerns, and health-related quality of life. Finally, parental education and immigrant background were associated between friends in all countries except Sweden, where no associations were observed. <b><i>Conclusion:</i></b> Adolescent friends shared a number of weight-related characteristics. For weight measures per se, positive associations with friends’ characteristics were only observed in adolescents with high parental education. Associations regarding energy-balance behaviors and indicators of school-related well-being did not differ by parental education. Parental education and immigrant background correlated positively in friends in most countries showing that social aggregation is already occurring in adolescence. The wide spectrum of friendship associations in weight-related traits and behaviors suggests that health promotion initiatives in adolescents should be directed towards peer groups in both school-related and leisure-time environments. <b><i>ISRCTN Registry:</i></b> Pan-European IDEFICS/I.Family children cohort (ID ISRCTN62310987; https://doi.org/10.1186/ISRCTN62310987).
DOI: 10.5281/zenodo.2938933
title: Stable and manipulable Bloch point

description: Simulation, data analysis, and plotting scripts used to obtain results reported in M. Beg <em>et al. </em>Stable and manipulable Bloch point. <em>Scientific Reports</em> <strong>9</strong>, 7959 (2019)..
DOI: 10.21227/a4f6-4413
title: Leaves: India’s Most Famous Basil Plant Leaves Quality Dataset

description: Basil/Tulsi Plant is harvested in India because of some spiritual facts behind this plant,this plant is used for essential oil and pharmaceutical purpose. There are two types of Basil plants cultivated in India as Krushna Tulsi/Black Tulsi and Ram Tulsi/Green Tulsi.Many of the investigator working on disease detection in Basil leaves where the following diseases occur 1) Gray Mold 2) Basal Root Rot, Damping Off 3) Fusarium Wilt and Crown Rot4) Leaf Spot5) Downy MildewThe Quality parameters (Healthy/Diseased) and also classification based on the texture and color of leaves. For the object detection purpose researcher using an algorithm like Yolo, TensorFlow, OpenCV, deep learning, CNNI had collected a dataset from the region Amravati, Pune, Nagpur Maharashtra state the format of the images is in .jpg.
DOI: 10.21227/9aws-et86
title: Leaves: India’s Most Famous Basil Plant Leaves Quality Dataset

description: Basil/Tulsi Plant is harvested in India because of some spiritual facts behind this plant,this plant is used for essential oil and pharmaceutical purpose. There are two types of Basil plants cultivated in India as Krushna Tulsi/Black Tulsi and Ram Tulsi/Green Tulsi.Many of the investigator working on disease detection in Basil leaves where the following diseases occur 1) Gray Mold 2) Basal Root Rot, Damping Off 3) Fusarium Wilt and Crown Rot4) Leaf Spot5) Downy MildewThe Quality parameters (Healthy/Diseased) and also classification based on the texture and color of leaves. For the object detection purpose researcher using an algorithm like Yolo, TensorFlow, OpenCV, deep learning, CNNI had collected a dataset from the region Amravati, Pune, Nagpur Maharashtra state the format of the images is in .jpg.
DOI: 10.15161/oar.it/73357
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: 10.21227/69dc-ey12
title: Leaves: India’s Most Famous Basil Plant Leaves Quality Dataset

description: Basil/Tulsi Plant is harvested in India because of some spiritual facts behind this plant,this plant is used for essential oil and pharmaceutical purpose. There are two types of Basil plants cultivated in India as Krushna Tulsi/Black Tulsi and Ram Tulsi/Green Tulsi.Many of the investigator working on disease detection in Basil leaves where the following diseases occur 1) Gray Mold 2) Basal Root Rot, Damping Off 3) Fusarium Wilt and Crown Rot4) Leaf Spot5) Downy MildewThe Quality parameters (Healthy/Diseased) and also classification based on the texture and color of leaves. For the object detection purpose researcher using an algorithm like Yolo, TensorFlow, OpenCV, deep learning, CNNI had collected a dataset from the region Amravati, Pune, Nagpur Maharashtra state the format of the images is in .jpg.
DOI: 10.5517/ccdc.csd.cc21zzkl
title: CCDC 1906610: Experimental Crystal Structure Determination

description: Related Article: Imma Escofet, Helena Armengol-Relats, Hanna Bruss, Maria Besora, Antonio M. Echavarren|2020|Chem.-Eur.J.|26|15738|doi:10.1002/chem.202004237
DOI: 10.5517/ccdc.csd.cc21zzlm
title: CCDC 1906611: Experimental Crystal Structure Determination

description: Related Article: Imma Escofet, Helena Armengol-Relats, Hanna Bruss, Maria Besora, Antonio M. Echavarren|2020|Chem.-Eur.J.|26|15738|doi:10.1002/chem.202004237
DOI: 10.5517/ccdc.csd.cc21zzmn
title: CCDC 1906612: Experimental Crystal Structure Determination

description: Related Article: Imma Escofet, Helena Armengol-Relats, Hanna Bruss, Maria Besora, Antonio M. Echavarren|2020|Chem.-Eur.J.|26|15738|doi:10.1002/chem.202004237
DOI: 10.5517/ccdc.csd.cc21zznp
title: CCDC 1906613: Experimental Crystal Structure Determination

description: Related Article: Imma Escofet, Helena Armengol-Relats, Hanna Bruss, Maria Besora, Antonio M. Echavarren|2020|Chem.-Eur.J.|26|15738|doi:10.1002/chem.202004237
DOI: 10.5517/ccdc.csd.cc257v5g
title: CCDC 2003535: Experimental Crystal Structure Determination

description: Related Article: Dawei Li, Man-Man Ding, Yu Ge, David Felipe Tello Yepes, Mingyuan Sun, Muhammad Saleem Najib, Yahong Li, Yi-Quan Zhang, Jin-lei Yao|2020|New J.Chem.|44|20634|doi:10.1039/D0NJ04009F
DOI: 10.5517/ccdc.csd.cc257v6h
title: CCDC 2003536: Experimental Crystal Structure Determination

description: Related Article: Dawei Li, Man-Man Ding, Yu Ge, David Felipe Tello Yepes, Mingyuan Sun, Muhammad Saleem Najib, Yahong Li, Yi-Quan Zhang, Jin-lei Yao|2020|New J.Chem.|44|20634|doi:10.1039/D0NJ04009F
DOI: 10.5517/ccdc.csd.cc25c2j5
title: CCDC 2006646: Experimental Crystal Structure Determination

description: Related Article: Yvonne Abel, Ivan Vlassiouk, Enno Lork, Sergei Smirnov, Marat R. Talipov, Franz-Peter Montforts|2020|Chem.-Eur.J.|26|17120|doi:10.1002/chem.202002736
DOI: 10.5517/ccdc.csd.cc25c2k6
title: CCDC 2006647: Experimental Crystal Structure Determination

description: Related Article: Yvonne Abel, Ivan Vlassiouk, Enno Lork, Sergei Smirnov, Marat R. Talipov, Franz-Peter Montforts|2020|Chem.-Eur.J.|26|17120|doi:10.1002/chem.202002736
DOI: 10.48370/ofd/7erosd
title: Wiechlina łąkowa (Poa pratensis L. s. str.), 2275

description: Herbarium
DOI: 10.5517/ccdc.csd.cc25fcjj
title: CCDC 2008847: Experimental Crystal Structure Determination

description: Related Article: Ajay Kumar, Han Young Shin, Taehwan Lee, Jaehoon Jung, Byung Jun Jung, Min Hyung Lee|2020|Chem.-Eur.J.|26|16793|doi:10.1002/chem.202002968
DOI: 10.5517/ccdc.csd.cc25fckk
title: CCDC 2008848: Experimental Crystal Structure Determination

description: Related Article: Ajay Kumar, Han Young Shin, Taehwan Lee, Jaehoon Jung, Byung Jun Jung, Min Hyung Lee|2020|Chem.-Eur.J.|26|16793|doi:10.1002/chem.202002968
DOI: 10.5517/ccdc.csd.cc25g4rk
title: CCDC 2009598: Experimental Crystal Structure Determination

description: Related Article: Manickam Bakthadoss, Vishal Agarwal|2020|J.Org.Chem.|85|15221|doi:10.1021/acs.joc.0c02073
DOI: 10.5517/ccdc.csd.cc25g4sl
title: CCDC 2009599: Experimental Crystal Structure Determination

description: Related Article: Manickam Bakthadoss, Vishal Agarwal|2020|J.Org.Chem.|85|15221|doi:10.1021/acs.joc.0c02073
DOI: 10.5517/ccdc.csd.cc25jn2g
title: CCDC 2011995: Experimental Crystal Structure Determination

description: Related Article: Alexander Pöcheim, Gül Altınbaş Özpınar, Thomas Müller, Judith Baumgartner, Christoph Marschner|2020|Chem.-Eur.J.|26|17252|doi:10.1002/chem.202003150
DOI: 10.5517/ccdc.csd.cc25jn3h
title: CCDC 2011996: Experimental Crystal Structure Determination

description: Related Article: Alexander Pöcheim, Gül Altınbaş Özpınar, Thomas Müller, Judith Baumgartner, Christoph Marschner|2020|Chem.-Eur.J.|26|17252|doi:10.1002/chem.202003150
DOI: 10.5517/ccdc.csd.cc25jn4j
title: CCDC 2011997: Experimental Crystal Structure Determination

description: Related Article: Alexander Pöcheim, Gül Altınbaş Özpınar, Thomas Müller, Judith Baumgartner, Christoph Marschner|2020|Chem.-Eur.J.|26|17252|doi:10.1002/chem.202003150
DOI: 10.48370/ofd/jnquvr
title: Świdośliwka kłosowa (Amelanchier spicata (Lam.) K. Koch), 5672

description: Herbarium
DOI: 10.21227/nr7t-k633
title: Leaves: India’s Most Famous Basil Plant Leaves Quality Dataset

description: Basil/Tulsi Plant is harvested in India because of some spiritual facts behind this plant,this plant is used for essential oil and pharmaceutical purpose. There are two types of Basil plants cultivated in India as Krushna Tulsi/Black Tulsi and Ram Tulsi/Green Tulsi.Many of the investigator working on disease detection in Basil leaves where the following diseases occur 1) Gray Mold 2) Basal Root Rot, Damping Off 3) Fusarium Wilt and Crown Rot4) Leaf Spot5) Downy MildewThe Quality parameters (Healthy/Diseased) and also classification based on the texture and color of leaves. For the object detection purpose researcher using an algorithm like Yolo, TensorFlow, OpenCV, deep learning, CNNI had collected a dataset from the region Amravati, Pune, Nagpur Maharashtra state the format of the images is in .jpg.
DOI: 10.6084/m9.figshare.12911567
title: Database Gryllus

description: Family and individual databases
DOI: 10.6084/m9.figshare.12911567.v1
title: Database Gryllus

description: Family and individual databases
DOI: 10.5281/zenodo.4384169
title: Addressable Nanoantennas with Cleared Hotspots for Single-Molecule Detection on a Portable Smartphone Microscope

description: The advent of highly sensitive photodetectors and the development of photostabilization strategies made detecting the fluorescence of single molecules a routine task in many labs around the world. However, to this day, this process requires cost-intensive optical instruments due to the truly nanoscopic signal of a single emitter. Simplifying single-molecule detection would enable many exciting applications, <em>e.g.</em> in point-of-care diagnostic settings, where costly equipment would be prohibitive. Here, we introduce addressable NanoAntennas with Cleared HOtSpots (NACHOS) that are scaffolded by DNA origami nanostructures and can be specifically tailored for the incorporation of bioassays. Single emitters placed in the NACHOS emit up to 461-fold (average of 89±7-fold) brighter enabling their detection with a customary smartphone camera and an 8-US-dollar objective lens. To prove the applicability of our system, we built a portable, battery-powered smartphone microscope and successfully carried out an exemplary single-molecule detection assay for DNA specific to antibiotic-resistant <em>Klebsiella pneumonia</em> „on the road “. Here we demonstrate the raw data on which our findings based on.