cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5517/ccdc.csd.cc2496zn
title: CCDC 1975071: Experimental Crystal Structure Determination

description: Related Article: Wen-Tong Chen|2020|J.Solid State Chem.|285|121251|doi:10.1016/j.jssc.2020.121251
DOI: 10.5517/ccdc.csd.cc24971r
title: CCDC 1975073: Experimental Crystal Structure Determination

description: Related Article: Wen-Tong Chen|2020|J.Solid State Chem.|285|121251|doi:10.1016/j.jssc.2020.121251
DOI: 10.5517/ccdc.csd.cc249tz8
title: CCDC 1975660: Experimental Crystal Structure Determination

description: Related Article: Ya-Dan Huang, Jian-Hua Qin, Xiao-Gang Yang, Hua-Rui Wang, Fei-Fei Li, Lu-Fang Ma|2020|J.Solid State Chem.|285|121252|doi:10.1016/j.jssc.2020.121252
DOI: 10.5517/ccdc.csd.cc249v0b
title: CCDC 1975661: Experimental Crystal Structure Determination

description: Related Article: Ya-Dan Huang, Jian-Hua Qin, Xiao-Gang Yang, Hua-Rui Wang, Fei-Fei Li, Lu-Fang Ma|2020|J.Solid State Chem.|285|121252|doi:10.1016/j.jssc.2020.121252
DOI: 10.5517/ccdc.csd.cc24cfwv
title: CCDC 1977207: Experimental Crystal Structure Determination

description: Related Article: Zhong-Jie Ma, Wei Li, Ji-Ming Yu, Zhizhuan Zhang, Xiao-Qin Zhu, Wei-Wei Xiong, Xiao-Ying Huang|2020|J.Solid State Chem.|285|121248|doi:10.1016/j.jssc.2020.121248
DOI: 10.5517/ccdc.csd.cc24cfxw
title: CCDC 1977208: Experimental Crystal Structure Determination

description: Related Article: Zhong-Jie Ma, Wei Li, Ji-Ming Yu, Zhizhuan Zhang, Xiao-Qin Zhu, Wei-Wei Xiong, Xiao-Ying Huang|2020|J.Solid State Chem.|285|121248|doi:10.1016/j.jssc.2020.121248
DOI: 10.5517/ccdc.csd.cc24cfyx
title: CCDC 1977209: Experimental Crystal Structure Determination

description: Related Article: Zhong-Jie Ma, Wei Li, Ji-Ming Yu, Zhizhuan Zhang, Xiao-Qin Zhu, Wei-Wei Xiong, Xiao-Ying Huang|2020|J.Solid State Chem.|285|121248|doi:10.1016/j.jssc.2020.121248
DOI: 10.5517/ccdc.csd.cc24cfzy
title: CCDC 1977210: Experimental Crystal Structure Determination

description: Related Article: Zhong-Jie Ma, Wei Li, Ji-Ming Yu, Zhizhuan Zhang, Xiao-Qin Zhu, Wei-Wei Xiong, Xiao-Ying Huang|2020|J.Solid State Chem.|285|121248|doi:10.1016/j.jssc.2020.121248
DOI: 10.5517/ccdc.csd.cc24cg00
title: CCDC 1977211: Experimental Crystal Structure Determination

description: Related Article: Zhong-Jie Ma, Wei Li, Ji-Ming Yu, Zhizhuan Zhang, Xiao-Qin Zhu, Wei-Wei Xiong, Xiao-Ying Huang|2020|J.Solid State Chem.|285|121248|doi:10.1016/j.jssc.2020.121248
DOI: 10.5517/ccdc.csd.cc24cg11
title: CCDC 1977212: Experimental Crystal Structure Determination

description: Related Article: Zhong-Jie Ma, Wei Li, Ji-Ming Yu, Zhizhuan Zhang, Xiao-Qin Zhu, Wei-Wei Xiong, Xiao-Ying Huang|2020|J.Solid State Chem.|285|121248|doi:10.1016/j.jssc.2020.121248
DOI: 10.17027/isric-soilgrids/d95b6733-5a29-475e-ab83-478dcb8c0c20
title: SoilGrids250m 2.0 - Total nitrogen aggregated 1000m

description: Total nitrogen in cg/kg at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
DOI: 10.17027/isric-soilgrids/191be9ad-1817-43cd-9c8e-f22b8ff64294
title: SoilGrids250m 2.0 - Soil organic carbon content aggregated 1000m

description: Soil organic carbon content (fine earth fraction) in dg/kg at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
DOI: 10.21227/3bhm-my48
title: Bangla Corpus

description: Bangla is one of the most spoken languages in the world but Bangla NLP research is in its early stage of development due to the lack of quality public corpus. In this article, we describe the detailed compilation methodology of a comprehensive monolingual Bangla corpus, KUMono. Thiscorpus consists of more than 353 million word tokens in total as well as more than one million unique tokens from 18 major text categories of online Bangla websites.
DOI: 10.17027/isric-soilgrids/08a70258-cfb9-46b8-8588-c2b932bbe395
title: SoilGrids250m 2.0 - Coarse fragments volumetric aggregated 1000m

description: Coarse fragments volumetric in ‱ at 6 standard depths. Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
DOI: 10.22021/bcldrdfz202201
title: The Linked Open British National Bibliography – Forthcoming Books. 2022-01 – RDF/XML
DOI: 10.17027/isric-soilgrids/2fdf1a33-487f-4aa7-a6b6-b2b49483ad48
title: SoilGrids250m 2.0 - Soil pH in H2O aggregated 1000m

description: Soil pH x 10 in H2O at 6 standard depths (to convert to pH values divide by 10). Predictions were derived using a digital soil mapping approach based on Quantile Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 1000 m cell.
DOI: 10.34740/kaggle/dsv/3152863
title: Mahanagar Yatayat Dataset
DOI: 10.6084/m9.figshare.18427260
title: Nonparametric Subset Scanning for Detection of Heteroscedasticity

description: We propose heteroscedastic subset scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning techniques to efficiently identify the subset of covariates that are most “heteroscedastically relevant.” Through simulations and a real data example, we demonstrate that HSS is capable of detecting heteroscedasticity in a wide range of settings, including in cases where existing global tests lack power. Furthermore, the global power of our method compares favorably to methods such as the Breusch–Pagan test. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.18427260.v2
title: Nonparametric Subset Scanning for Detection of Heteroscedasticity

description: We propose heteroscedastic subset scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning techniques to efficiently identify the subset of covariates that are most “heteroscedastically relevant.” Through simulations and a real data example, we demonstrate that HSS is capable of detecting heteroscedasticity in a wide range of settings, including in cases where existing global tests lack power. Furthermore, the global power of our method compares favorably to methods such as the Breusch–Pagan test. Supplementary materials for this article are available online.
DOI: 10.6084/m9.figshare.18427260.v1
title: Non-Parametric Subset Scanning for Detection of Heteroscedasticity

description: We propose Heteroscedastic Subset Scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning techniques to efficiently identify the subset of covariates that are most “heteroscedastically relevant”. Through simulations and a real data example, we demonstrate that HSS is capable of detecting heteroscedasticity in a wide range of settings, including in cases where existing global tests lack power. Furthermore, the global power of our method compares favorably to methods such as the Breusch-Pagan test.
DOI: 10.5281/zenodo.5992410
title: Seroprevalence of immunoglobulin G antibodies against SARS-CoV-2 in Cyprus

description: Four vaccines that have been authorized in the European Union offer different levels of protection against SARS-CoV-2 by generating immune responses against the spike receptor-binding domain (RBD) of the virus. Monitoring the levels of IgG antibodies against the SARS-CoV-2 is important during the coronavirus disease 2019 (COVID-19) pandemic to plan an adequate and evidence-based public health response. We compared the levels of serum IgG antibodies against SARS-CoV-2 spike protein in three groups: i) individuals without evidence of prior infection with SARS-CoV-2 who received one or two doses of either an mRNA-based (Comirnaty BNT162b2/Pfizer-BioNTech or Spikevax mRNA-1273/Moderna) or an adenoviral-based vaccine (Vaxzervia ChAdOx1 nCoV-19 /Oxford-Astra Zeneca) (n=227), ii) unvaccinated individuals with evidence of prior infection with SARS-CoV-2 (n=109), and iii) individuals with evidence of prior infection with SARS-CoV-2 who received at least one dose of a vaccine (n=30). Unvaccinated individuals without evidence of prior infection with SARS-CoV-2 were used as a control group (n=211). Our results indicate that vaccine-induced responses lead to higher levels of IgG antibodies compared to those produced following infection with the virus. In agreement with previous studies, our results suggest that among individuals previously infected with SARS-CoV-2, even a single dose of a vaccine is adequate to elicit high levels of humoral immunity.
DOI: 10.5281/zenodo.5992409
title: Seroprevalence of immunoglobulin G antibodies against SARS-CoV-2 in Cyprus

description: Four vaccines that have been authorized in the European Union offer different levels of protection against SARS-CoV-2 by generating immune responses against the spike receptor-binding domain (RBD) of the virus. Monitoring the levels of IgG antibodies against the SARS-CoV-2 is important during the coronavirus disease 2019 (COVID-19) pandemic to plan an adequate and evidence-based public health response. We compared the levels of serum IgG antibodies against SARS-CoV-2 spike protein in three groups: i) individuals without evidence of prior infection with SARS-CoV-2 who received one or two doses of either an mRNA-based (Comirnaty BNT162b2/Pfizer-BioNTech or Spikevax mRNA-1273/Moderna) or an adenoviral-based vaccine (Vaxzervia ChAdOx1 nCoV-19 /Oxford-Astra Zeneca) (n=227), ii) unvaccinated individuals with evidence of prior infection with SARS-CoV-2 (n=109), and iii) individuals with evidence of prior infection with SARS-CoV-2 who received at least one dose of a vaccine (n=30). Unvaccinated individuals without evidence of prior infection with SARS-CoV-2 were used as a control group (n=211). Our results indicate that vaccine-induced responses lead to higher levels of IgG antibodies compared to those produced following infection with the virus. In agreement with previous studies, our results suggest that among individuals previously infected with SARS-CoV-2, even a single dose of a vaccine is adequate to elicit high levels of humoral immunity.
DOI: 10.5281/zenodo.5987307
title: Risk-aversion for negative health outcomes may promote individual compliance to containment measures in Covid-19 pandemic

description: Submitted materials consist of study dataset which includes socio-demographic data of 130 adult Italian residents who completed the survey (89 females, mean age=38.5 y.o., sd=±9.3 y.o.), scores at psychosocial questionnaires used in the study (i.e., loneliness, empathic skills, coping strategies, alexithymia) which were reduced to three PCA components (Proactivity, Isolation, Inactivity), and performances at the three conditions of the Covid-19 Risk Task (Monetary, Health status, and Employment status). Study results showed that the individual degree of risk-aversion toward negative health outcomes was directly related to Proactivity component, encasing empathic, social support and positive coping strategies, which may prompt individuals to put in place self-protection strategies toward possible negative health consequences
DOI: 10.5281/zenodo.5987306
title: Risk-aversion for negative health outcomes may promote individual compliance to containment measures in Covid-19 pandemic

description: Submitted materials consist of study dataset which includes socio-demographic data of 130 adult Italian residents who completed the survey (89 females, mean age=38.5 y.o., sd=±9.3 y.o.), scores at psychosocial questionnaires used in the study (i.e., loneliness, empathic skills, coping strategies, alexithymia) which were reduced to three PCA components (Proactivity, Isolation, Inactivity), and performances at the three conditions of the Covid-19 Risk Task (Monetary, Health status, and Employment status). Study results showed that the individual degree of risk-aversion toward negative health outcomes was directly related to Proactivity component, encasing empathic, social support and positive coping strategies, which may prompt individuals to put in place self-protection strategies toward possible negative health consequences
DOI: 10.5281/zenodo.5994181
title: High intake of high fat diet impairs mitochondrial quality in renal tissue and reduced potential of renal tissue recovery from ischemic AKI

description: Kidney is highly metabolically active organ that consume 10% of oxygen used in cellular respiration, receives ¼ th of the cardiac output, filters approximately 180 L of water per day and eliminate 1-2 litres of urine daily. 95% of renal ATP is predominantly generated via oxidative phosphorylation in mitochondria. The current lifestyle with diets rich in fats is believed to be an important risk factor for many non-communicable diseases including chronic kidney diseases. High fat associated nutrient overload in kidney can induce ectopic lipid accumulation and active pro-lipogenic and pro-fibrotic genes, resulting elevated oxidative stress and mitochondrial dysfunction. Studies have showed that dietary modifications can increase the susceptibility towards ischemic acute kidney injury Renal ischemia reperfusion (IR) injury is one of the major cause of acute kidney injury that often presented with surgical procedures. There have been a number of prior studies that reported the detrimental effects of high fat diet on the kidney, and it is reported to influence the renal recovery after ischemia reperfusion. In the present study, we aim to investigate mitochondrial quality changes associated with high fat diet treatment and its impact on the renal recovery from IR.
DOI: 10.5281/zenodo.5994180
title: High intake of high fat diet impairs mitochondrial quality in renal tissue and reduced potential of renal tissue recovery from ischemic AKI

description: Kidney is highly metabolically active organ that consume 10% of oxygen used in cellular respiration, receives ¼ th of the cardiac output, filters approximately 180 L of water per day and eliminate 1-2 litres of urine daily. 95% of renal ATP is predominantly generated via oxidative phosphorylation in mitochondria. The current lifestyle with diets rich in fats is believed to be an important risk factor for many non-communicable diseases including chronic kidney diseases. High fat associated nutrient overload in kidney can induce ectopic lipid accumulation and active pro-lipogenic and pro-fibrotic genes, resulting elevated oxidative stress and mitochondrial dysfunction. Studies have showed that dietary modifications can increase the susceptibility towards ischemic acute kidney injury Renal ischemia reperfusion (IR) injury is one of the major cause of acute kidney injury that often presented with surgical procedures. There have been a number of prior studies that reported the detrimental effects of high fat diet on the kidney, and it is reported to influence the renal recovery after ischemia reperfusion. In the present study, we aim to investigate mitochondrial quality changes associated with high fat diet treatment and its impact on the renal recovery from IR.
DOI: 10.5281/zenodo.5997080
title: Indicators and socio-spatial vulnerability index

description: This table contains all variables used to compute the socio-spatial vulnerability index and the values of this index, at the dristrict scale, on the coastal zone of Bangladesh (16 districts).
DOI: 10.5281/zenodo.5997079
title: Indicators and socio-spatial vulnerability index

description: This table contains all variables used to compute the socio-spatial vulnerability index and the values of this index, at the dristrict scale, on the coastal zone of Bangladesh (16 districts).
DOI: 10.17027/isric-soilgrids/77a02fc7-80c2-4fe7-bcf5-790367cc853d
title: SoilGrids250m 2.0 - WRB classes and probabilites aggregated 5000m

description: WRB classes and probabilites. Predictions were derived using a digital soil mapping approach based on Random Forest, drawing on a global compilation of soil profile data and environmental layers. This map is the result of resampling the mean SoilGrids 250 m predictions (Poggio et al. 2021) for each 5000 m cell. Legend: 0 = Acrisols 1 = Albeluvisols 2 = Alisols 3 = Andosols 4 = Arenosols 5 = Calcisols 6 = Cambisols 7 = Chernozems 8 = Cryosols 9 = Durisols 10 = Ferralsols 11 = Fluvisols 12 = Gleysols 13 = Gypsisols 14 = Histosols 15 = Kastanozems 16 = Leptosols 17 = Lixisols 18 = Luvisols 19 = Nitisols 20 = Phaeozems 21 = Planosols 22 = Plinthosols 23 = Podzols 24 = Regosols 25 = Solonchaks 26 = Solonetz 27 = Stagnosols 28 = Umbrisols 29 = Vertisols
DOI: 10.5281/zenodo.5997707
title: Data from: Passive sampling of environmental DNA in aquatic environments using 3D-printed hydroxyapatite samplers

description: The study of environmental DNA released by aquatic organisms in their habitat offers a fast, non-invasive and sensitive approach to monitor their presence. Common eDNA sampling methods such as water filtration and DNA precipitation are time consuming, require difficult-to-handle equipment and partially integrate eDNA signals. To overcome these limitations, we created the first proof of concept of a passive, 3D-printed and easy-to-use eDNA sampler. We designed the samplers from hydroxyapatite (HAp samplers), a natural mineral with a high DNA adsorption capacity. The porous structure and shape of the samplers were designed to optimise DNA adsorption and facilitate their handling in the laboratory and in the field. Here we show that HAp samplers can efficiently collect genomic DNA in controlled set-ups, but can also collect animal eDNA under controlled and natural conditions with yields similar to conventional methods. However, we also observed large variations in the amount of DNA collected even under controlled conditions. A better understanding of the DNA-hydroxyapatite interactions on the surface of the samplers is now necessary to optimise the eDNA adsorption and to allow the development of a reliable, easy-to-use and reusable eDNA sampling tool.
DOI: 10.5281/zenodo.5997706
title: Data from: Passive sampling of environmental DNA in aquatic environments using 3D-printed hydroxyapatite samplers

description: The study of environmental DNA released by aquatic organisms in their habitat offers a fast, non-invasive and sensitive approach to monitor their presence. Common eDNA sampling methods such as water filtration and DNA precipitation are time consuming, require difficult-to-handle equipment and partially integrate eDNA signals. To overcome these limitations, we created the first proof of concept of a passive, 3D-printed and easy-to-use eDNA sampler. We designed the samplers from hydroxyapatite (HAp samplers), a natural mineral with a high DNA adsorption capacity. The porous structure and shape of the samplers were designed to optimise DNA adsorption and facilitate their handling in the laboratory and in the field. Here we show that HAp samplers can efficiently collect genomic DNA in controlled set-ups, but can also collect animal eDNA under controlled and natural conditions with yields similar to conventional methods. However, we also observed large variations in the amount of DNA collected even under controlled conditions. A better understanding of the DNA-hydroxyapatite interactions on the surface of the samplers is now necessary to optimise the eDNA adsorption and to allow the development of a reliable, easy-to-use and reusable eDNA sampling tool.
DOI: 10.18716/fd-lex/861
title: Textkorpus Scriptoria. Forschungsprojekt: Unterrichtliche Förderung von Teilkomponenten der Schreibkompetenz
title: Text corpus Scriptoria. Research project: Instructional promotion of subcomponents of writing competence

description: The text corpus comprises 5,628 learner texts in German. These are report and argumentation texts that were collected in fifth and ninth grades at comprehensive schools and grammar schools in Hanover and Cologne. Within the scope of the study, the students wrote two texts each at three measurement points. The writing products are provided electronically in orthographically smoothed form (PDF) and as a scan of the handwritten originals (PDF). The writing tasks including the image stimulus can be viewed and downloaded.
DOI: 10.14284/458
title: Latitudinal gradient of copepod functional diversity in the South Atlantic Ocean

description: We revisited the Tara Oceans zooplankton collection aiming to enlarge the latitudinal gradient of copepod diversity in the South Atlantic and Southern Ocean, which provided a unique opportunity to access a large variety of ecosystems, from tropical to polar waters, identifying copepods to the species level using morphological taxonomy. The sampling were carried out with a zooplankton WP2 net (200µm). The dataset contains: (1) sampling and environmental data, (2) raw counts, composition and taxonomic identification of the copepod species community, and (3) copepod traits data.
description: There is a growing consensus about the need to assess the multifaceted marine biodiversity by analyzing morphological taxonomy and biological traits to link the biodiversity and ecosystem functioning relationships (BEF) to environmental variability. To unravel the copepod biodiversity, we merge three subjects: taxonomic versus functional diversity indices, trait-environment gradients and biodiversity and ecosystem relationships. We integrated the samplings in the Southern Brazilian shelf to the Tara Oceans expeditions at different biogeographic zones, from tropical to polar, throughout the Southwestern Atlantic up to the Southern Ocean. To assess the link between functional traits and environmental characteristics, we clustered the 94 species into functional groups based on the combination of five functional traits and estimated functional diversity indices.
DOI: 10.18716/fd-lex/852
title: Textkorpus TSK. Forschungsprojekt
title: Text-Sorten-Kompetenz
title: Text corpus TSK. Research project : Text-type-competence

description: The TSK corpus comprises 585 texts written by 39 pupils in German. The texts originate from a longitudinal study on the development of textual competence in primary school age conducted at the University of Siegen. Two classes were used to determine how children&apos;s ability to write texts develops in the 2nd, 3rd, and 4th grades within the context of different communicative demands (text types): narrative, report, instructional, descriptive, and argumentative. The survey period was between the years 2001 and 2003.