cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.6982004
title: Educar en Contingencia: Docentes de Media Superior

description: El objetivo de la investigación fue analizar el aprendizaje y el bienestar socioemocional de los(as) estudiantes y docentes de Instituciones de Educación Superior pública y particular en México, a partir del uso de estrategias didáctico-tecnológicas que emplean durante el periodo de cuarentena, tomando como punto de partida la identificación de incidentes críticos asociados a la vida escolar durante el período de la cuarentena. Se aplicaron cuestionarios autoadministrados, el tipo de muestra fue no probabilística, por conveniencia a través de Google Forms. Por cuestiones de confidencialidad y anonimato se eliminaron posibles variables de identificación. Estas bases corresponden a los docentes de educación media superior mexicanos.
DOI: 10.6084/m9.figshare.20469171
title: Biomarkers in ocular surface lavage in diabetic retinopathy

description: Diabetes mellitus (DM) patients have different micro and macrovascular affections. Diabetic Retinopathy (DR) is a consequence of a lack of glucose control and glucotoxicity. Oxidative stress (OxS) is related to the progress of vascular and tissular dysfunction. The present study evaluated the enzymatic activity of myeloperoxidase (MPO), Arginase, Glutathione S-Transferase (GST), and the metabolite Methylglyoxal (MGO) as precursors of Advanced Glycation End-products (AGEs) in the ocular surface lavage (OSL) and serum of DM patients at different DR stages and in patients without DM as a control group. We also determined the relationship of OxS biomarkers with DR stage and with local and systemic responses. Demographic and clinical data included in the statistical analysis were age, DM diagnostic age, intraocular pressure (IOP), and systemic glucose. All biomarkers were analyzed by colorimetric assays and measurements were obtained using spectrophotometry. MPO, MGO, and arginase in OSL samples showed a statistically significant increase in diabetic patients with respect to healthy patients. However, serum MPO, GST, and arginase were significantly lower in all diabetic patients compared to healthy patients. MPO, MGO, and arginase levels in OSL showed a positive correlation with systemic glucose, and MPO and MGO were positively correlated with age and diagnostic age of DM. Serum biomarkers showed an inverse correlation to that observed in the OSL evaluation. MPO, MGO, and arginase OSL levels showed a statistically significant correlation with MPO, MGO, and arginase serum levels. IOP showed a discrete correlation with serum MGO (Rho 0.2822, p= 0.086), and a statistically significant increase in IOP was observed in the 4th quartile of serum MGO level. The present pilot study demonstrates the differential contribution of OxS biomarkers in OSL concerning a systemic evaluation, and their correlation in the different stages of DR, which is mainly explained by glucotoxicity since there was an increase in MGO concentrations.
DOI: 10.6084/m9.figshare.20469171.v1
title: Biomarkers in ocular surface lavage in diabetic retinopathy

description: Diabetes mellitus (DM) patients have different micro and macrovascular affections. Diabetic Retinopathy (DR) is a consequence of a lack of glucose control and glucotoxicity. Oxidative stress (OxS) is related to the progress of vascular and tissular dysfunction. The present study evaluated the enzymatic activity of myeloperoxidase (MPO), Arginase, Glutathione S-Transferase (GST), and the metabolite Methylglyoxal (MGO) as precursors of Advanced Glycation End-products (AGEs) in the ocular surface lavage (OSL) and serum of DM patients at different DR stages and in patients without DM as a control group. We also determined the relationship of OxS biomarkers with DR stage and with local and systemic responses. Demographic and clinical data included in the statistical analysis were age, DM diagnostic age, intraocular pressure (IOP), and systemic glucose. All biomarkers were analyzed by colorimetric assays and measurements were obtained using spectrophotometry. MPO, MGO, and arginase in OSL samples showed a statistically significant increase in diabetic patients with respect to healthy patients. However, serum MPO, GST, and arginase were significantly lower in all diabetic patients compared to healthy patients. MPO, MGO, and arginase levels in OSL showed a positive correlation with systemic glucose, and MPO and MGO were positively correlated with age and diagnostic age of DM. Serum biomarkers showed an inverse correlation to that observed in the OSL evaluation. MPO, MGO, and arginase OSL levels showed a statistically significant correlation with MPO, MGO, and arginase serum levels. IOP showed a discrete correlation with serum MGO (Rho 0.2822, p= 0.086), and a statistically significant increase in IOP was observed in the 4th quartile of serum MGO level. The present pilot study demonstrates the differential contribution of OxS biomarkers in OSL concerning a systemic evaluation, and their correlation in the different stages of DR, which is mainly explained by glucotoxicity since there was an increase in MGO concentrations.
DOI: 10.6084/m9.figshare.20469201
title: Determinanty SKNPO

description: Polish nonprofit organizations
DOI: 10.6084/m9.figshare.20469201.v1
title: Determinanty SKNPO

description: Polish nonprofit organizations
DOI: 10.17632/jsjfww4rg2.1
title: Across the Gobi Desert: impact of landscape features on the phylogeography and release calls of the Mongolian Toad Strauchbufo raddei in East Asia

description: Landscape structures drive biogeographic patterns and population connectivity of animals distributed across diverse biotopes. Here, we provide new fresh insights on the genetic structurephylogeography of the widespread Mongolian Toad, Strauchbufo raddei on diverse landscapes of East Asia. We then refine its phylogeographyreconstructed the biogeography of S. raddei throughout Eastnortheast Asia (n N = 299; assembled up to 2,613 bp of concatenated CR-COI-16S-12S fragments) using fossil-based molecular dating and genetic connectivity assessments. In addition, we refined our analyses and address phylogenetic andpast population dynamics and geographic variations in release calls for the  clades occurring in the steppes of northern Mongolia and the Amur River basin (n N = 147). Our results support recovereda dual origintwo separate ancestors of S. raddei across East Asia, and estimated asupported a basal split Mid-Miocene split between the northeastern and southern cladeslineages in Middle Miocene (c. 9.48 – 13.77 Mya). Ancestral range estimates suggest a the earliest radiation of thewithin  northeastern lineage, likely followed by dispersal andattributes to the aridity-induced vicariance and dispersal from the central Asian steppes (Late Miocene; c. 7.89 [5.25-11.50] Mya). The southern lineage emerged subsequently from glacial refugium, c. 6.84 [3.48-2.63] Mya, expanding northward from the to thewestern margin of the Hentiyn Mountains, crossing of, and most likely across the Gobi Desert and Mongolia, c. 2.60 (1.15-3.72) Mya. Despite effective genetic barrier found in pre-Tibetan Plateau clade, The the trajectory of migrationhaplotype network however highlighted the presence of effective gene flow cross-landscapes, notably among central and northeastern Chinese clades occupied the habitats defined as steppe, river basin and canyon. Significant variation in release calls between the two mainnorthern Mongolia and Amur River Basin lineages clades reflected the a geographic isolation, and the supporting the northern refugia and post-glacial expansion of southern lineage into northwestern Mongolia, . likely linking the variations in release with the evolutionaryInterestingly, our finding indicates release calls can reflect to historical factor linked to phylogeography  history of the clade.
DOI: 10.34740/kaggle/ds/2346861
title: Coffee Toasted Agtron
DOI: 10.6084/m9.figshare.20469330
title: Paper and Journal list

description: The paper and journal lists used in the study.
DOI: 10.6084/m9.figshare.20469330.v1
title: Paper and Journal list

description: The paper and journal lists used in the study.
DOI: 10.25912/rdf_1660004900199
title: Studying the effect of adaptive learning technology on student learning in first year chemistry.
DOI: 10.6084/m9.figshare.19755313
title: Figure data for "Self-emergence of robust solitons in a micro-cavity"

description: <em><strong>Figure data for </strong></em> <strong>"Self-emergence of robust solitons in a micro-cavity"</strong> Maxwell Rowley<sup>1</sup>, Pierre-Henry Hanzard<sup>1</sup>, Antonio Cutrona<sup>1,2</sup>, Hualong Bao<sup>1</sup>, Sai T. Chu<sup>3</sup>, Brent E. Little<sup>4</sup>, Roberto Morandotti<sup>5</sup>, David J. Moss<sup>6</sup>, Gian-Luca Oppo7, Juan Sebastian Totero Gongora<sup>1,2</sup>, Marco Peccianti<sup>1,2</sup> and Alessia Pasquazi<sup>1,2,*</sup> <sup>1</sup> Emergent Photonics (Epic) Lab, Dept. of Physics and Astronomy, University of Sussex, BN1 9QH, UK <sup>2</sup> Emergent Photonics Research Centre, Dept. of Physics, Loughborough University, Loughborough LE11 3TU <sup>3</sup> Department of Physics, City University of Hong Kong, Tat Chee Avenue, Hong Kong, China SAR <sup>4</sup> State Key Laboratory of Transient Optics and Photonics, Xi'an Institute of Optics and Precision Mechanics, CAS, Xi'an, China <sup>5</sup> INRS-EMT, 1650 Boulevard Lionel-Boulet, Varennes, Québec, Canada J3X 1S2 <sup>6 </sup>Optical Sciences Centre, Swinburne University of Technology, Hawthorn, VIC 3122, Australia <sup>7</sup> SUPA, Department of Physics, University of Strathclyde, Glasgow, Scotland, UK <sup>*</sup>a.pasquazi@sussex.ac.uk Article DOI: https://doi.org/10.1038/s41586-022-04957-x <br> <strong>Acknowledgements</strong> We acknowledge the support of the EPSRC, Industrial Innovation Fellowship Programme, under grant no. EP/S001018/1, the UK Canada Quantum Technology Programme and Innovate UK (IUK project nos. 77087 and 10004412). This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme grant agreement no. 851758 (TELSCOMBE). A.C. acknowledges the support of the DSTL-Defence Science & Technology Laboratory through the studentship DSTLX1000142078. J.S.T.G. acknowledges the Leverhulme Trust (Leverhulme Early Career Fellowship grant no. ECF-2020-537). R.M. acknowledges funding by the Natural Sciences and Engineering Research Council of Canada (NSERC) through the joint UK Canada Quantum Technology Programme, and by the Canada Research Chair Program. B.E.L. acknowledges support from the Strategic Priority Research Programme of the Chinese Academy of Sciences (grant no. XDB24030300). We are indebted to L. Peters, L. Olivieri and A. Bendahmane for enlightening discussions.
DOI: 10.25400/lincolnuninz.20416419.v1
title: Argentine stem weevil behavioural responses and parasitism rates towards its biological control agent in three New Zealand regions

description: Biological control of pests continues to become more important in agriculture as pesticides are being withdrawn. However, successful control can be compromised by contemporary evolution. Recent work in New Zealand has shown that the once-successful biological control programme of the sexually-reproducing grassland weevil pest <em>Listronotus bonariensis</em> by the asexual parasitoid <em>Microctonus hyperodae</em> has now failed. In order to explain the mechanisms associated with this, weevil parasitism rates were intensively monitored between 1994 and 2019. Frequent sampling took place at widely-dispersed New Zealand sites spanning the warmer northern regions to the cooler south. Based on elapsed heat accumulation above the parasitoid’s development temperature threshold of 10.2oC (DD), the results over c. 25 years indicated that the extent of parasitism decline at a given location was directly related to the accumulated DD. The latter, in turn, was taken to be indicative of parasitoid activity and selection pressure. Accordingly, laboratory microcosm experiments measuring the response of weevils collected from the North-South distribution to a common population of parasitoids, showed that the weevils from the warmer northern region showed higher rates of avoidance of the searching parasitoids than those from the cooler south. This strongly supported the hypothesis that the weevil resistance mechanism is related to levels of parasitoid avoidance behaviour arising from long-term parasitoid selection pressure. Raw data provided includes behaviours and plant height variables that were not analysed or included in the related publication. This study of the behaviourally-based acquisition of resistance to a biological control agent illustrates a general need to consider the potential capability of a exotic target host to develop resistance to imported biological control agents. This includes identifying existing host adaptations that selection pressure could potentially act upon that may compromise otherwise successful biological control programmes. Such a requirement points to the need for long-term monitoring of biological control systems and understanding of parasitoid/host dynamics.
DOI: 10.25400/lincolnuninz.20416419
title: Argentine stem weevil behavioural responses and parasitism rates towards its biological control agent in three New Zealand regions

description: Biological control of pests continues to become more important in agriculture as pesticides are being withdrawn. However, successful control can be compromised by contemporary evolution. Recent work in New Zealand has shown that the once-successful biological control programme of the sexually-reproducing grassland weevil pest <em>Listronotus bonariensis</em> by the asexual parasitoid <em>Microctonus hyperodae</em> has now failed. In order to explain the mechanisms associated with this, weevil parasitism rates were intensively monitored between 1994 and 2019. Frequent sampling took place at widely-dispersed New Zealand sites spanning the warmer northern regions to the cooler south. Based on elapsed heat accumulation above the parasitoid’s development temperature threshold of 10.2oC (DD), the results over c. 25 years indicated that the extent of parasitism decline at a given location was directly related to the accumulated DD. The latter, in turn, was taken to be indicative of parasitoid activity and selection pressure. Accordingly, laboratory microcosm experiments measuring the response of weevils collected from the North-South distribution to a common population of parasitoids, showed that the weevils from the warmer northern region showed higher rates of avoidance of the searching parasitoids than those from the cooler south. This strongly supported the hypothesis that the weevil resistance mechanism is related to levels of parasitoid avoidance behaviour arising from long-term parasitoid selection pressure. Raw data provided includes behaviours and plant height variables that were not analysed or included in the related publication. This study of the behaviourally-based acquisition of resistance to a biological control agent illustrates a general need to consider the potential capability of a exotic target host to develop resistance to imported biological control agents. This includes identifying existing host adaptations that selection pressure could potentially act upon that may compromise otherwise successful biological control programmes. Such a requirement points to the need for long-term monitoring of biological control systems and understanding of parasitoid/host dynamics.
DOI: 10.6084/m9.figshare.20469414
title: Answers questionnaires T0 e TF.xlsx

description: This dataset have all answers from the questionnaires.
DOI: 10.6084/m9.figshare.20469414.v1
title: Answers questionnaires T0 e TF.xlsx

description: This dataset have all answers from the questionnaires.
DOI: 10.34740/kaggle/dsv/4055766
title: OntoUML/UFO Catalog
DOI: 10.34740/kaggle/dsv/4055775
title: BBC News
DOI: 10.17608/k6.auckland.20469522.v1
title: HomosapienDEE2CellScore data package

description: Dataset downloaded from dee2.io for hsapiens, and processed for use with the new version of CellScore that uses SummarizedExperiment to contain the data. Data was generated by running (in R 4.2.0): <br> BiocManager::install() BiocManager::install("getDEE2") library(Biobase) library(SummarizedExperiment) library(getDEE2) library(devtools) devtools::install_github(repo="flaviusb/CellScore") library(CellScore) library(DESeq2) devtools::install_github(repo="flaviusb/homosapienDEE2CellScore", force=TRUE) library(homosapienDEE2CellScore) BiocManager::install("AnnotationHub") BiocManager::install("ExperimentHub") library(AnnotationHub) library(AnnotationHubData) library(ExperimentHub) library(ExperimentHubData) homosapienDEE2CellScoreData &lt;- buildData(build_tsne=FALSE, build_raw=TRUE, build_srx_agg=TRUE) writeOutSEZip(homosapienDEE2CellScoreData$qc_pass_raw, filename_base="hsDEE2cs_qc_pass_raw") writeOutSEZip(homosapienDEE2CellScoreData$qc_warn_raw, filename_base="hsDEE2cs_qc_warn_raw") writeOutSEZip(homosapienDEE2CellScoreData$qc_pass_agg, filename_base="hsDEE2cs_qc_pass_agg") writeOutSEZip(homosapienDEE2CellScoreData$qc_warn_agg, filename_base="hsDEE2cs_qc_warn_agg") writeOutSEZip(homosapienDEE2CellScoreData$qc_pass_deseq2, filename_base="hsDEE2cs_qc_pass_deseq2") writeOutSEZip(homosapienDEE2CellScoreData$qc_warn_deseq2, filename_base="hsDEE2cs_qc_warn_deseq2") writeOutSEZip(homosapienDEE2CellScoreData$qc_pass_rank, filename_base="hsDEE2cs_qc_pass_rank") writeOutSEZip(homosapienDEE2CellScoreData$qc_warn_rank, filename_base="hsDEE2cs_qc_warn_rank") <br>
DOI: 10.17608/k6.auckland.20469522
title: HomosapienDEE2CellScore data package

description: Dataset downloaded from dee2.io for hsapiens, and processed for use with the new version of CellScore that uses SummarizedExperiment to contain the data. Data was generated by running (in R 4.2.0): <br> BiocManager::install() BiocManager::install("getDEE2") library(Biobase) library(SummarizedExperiment) library(getDEE2) library(devtools) devtools::install_github(repo="flaviusb/CellScore") library(CellScore) library(DESeq2) devtools::install_github(repo="flaviusb/homosapienDEE2CellScore", force=TRUE) library(homosapienDEE2CellScore) BiocManager::install("AnnotationHub") BiocManager::install("ExperimentHub") library(AnnotationHub) library(AnnotationHubData) library(ExperimentHub) library(ExperimentHubData) homosapienDEE2CellScoreData &lt;- buildData(build_tsne=FALSE, build_raw=TRUE, build_srx_agg=TRUE) writeOutSEZip(homosapienDEE2CellScoreData$qc_pass_raw, filename_base="hsDEE2cs_qc_pass_raw") writeOutSEZip(homosapienDEE2CellScoreData$qc_warn_raw, filename_base="hsDEE2cs_qc_warn_raw") writeOutSEZip(homosapienDEE2CellScoreData$qc_pass_agg, filename_base="hsDEE2cs_qc_pass_agg") writeOutSEZip(homosapienDEE2CellScoreData$qc_warn_agg, filename_base="hsDEE2cs_qc_warn_agg") writeOutSEZip(homosapienDEE2CellScoreData$qc_pass_deseq2, filename_base="hsDEE2cs_qc_pass_deseq2") writeOutSEZip(homosapienDEE2CellScoreData$qc_warn_deseq2, filename_base="hsDEE2cs_qc_warn_deseq2") writeOutSEZip(homosapienDEE2CellScoreData$qc_pass_rank, filename_base="hsDEE2cs_qc_pass_rank") writeOutSEZip(homosapienDEE2CellScoreData$qc_warn_rank, filename_base="hsDEE2cs_qc_warn_rank") <br>
DOI: 10.6084/m9.figshare.20469540
title: Data used for the publication "Large contribution of fossil-derived components to aqueous secondary organic aerosols in China "

description: We report new radiocarbon measurements of individual dicarboxylic acids in aerosols collected from a regional receptor site in South China. The compound-specific radiocarbon isotopic evidences show that fossil anthropogenic precursors contribute to the formation of aqueous-phase secondary organic aerosol to a much higher extent than expected. The dataset includes chemical composition and dual-carbon (stable carbon and radiocarbon) isotope composition of aerosols used in the study.
DOI: 10.5281/zenodo.6973992
title: An ensemble of 48 perturbed-physics model (Noah-MP) estimates of the 1/8° terrestrial water storage over the conterminous United States, 1980–2015 (time-merged version)

description: This dataset contains the 1980–2015 monthly terrestrial water storage simulated by a 48-member perturbed-physics ensemble configured from the Noah LSM with multi-physics options (Noah‑MP v3.6). Simulation outputs include the total terrestrial water storage and its constituents (snow water equivalent, four-layer soil water content from the surface down to 2 m, and the groundwater storage anomaly). The file name has four parts: the variable collection, the used parameterization, the time period, the suffix, and the compression format. The 48 physics configurations are generated by combining four runoff parameterizations (run1: SIMGM, run2: SIMTOP, run3: NOAHR, run4: BATS), two parameterizations of stomatal conductance (can1: Ball–Berry, can2: Jarvis), three parameterizations of soil moisture stress factor (btr1:NOAHB, btr2: CLM, btr3: SSiB), and two parameterizations of near-surface atmospheric turbulence (tub1: M-O, tub2: Chen97). The simulation domain covers the all of conterminous United States (25°–53°N, 125°–67°W), which is also called the NLDAS-2 testbed (Xia et al., 2012a, b). The simulations were performed at a spatial resolution of 0.125°, which is the same as for NLDAS-2 models. Details of the simulation settings and spin-up run can be found in Section 2.3 of Zheng et al. (2019) and Section 2.2 of Fei et al. (2021).
DOI: 10.5281/zenodo.6973991
title: An ensemble of 48 perturbed-physics model (Noah-MP) estimates of the 1/8° terrestrial water storage over the conterminous United States, 1980–2015 (time-merged version)

description: This dataset contains the 1980–2015 monthly terrestrial water storage simulated by a 48-member perturbed-physics ensemble configured from the Noah LSM with multi-physics options (Noah‑MP v3.6). Simulation outputs include the total terrestrial water storage and its constituents (snow water equivalent, four-layer soil water content from the surface down to 2 m, and the groundwater storage anomaly). The file name has four parts: the variable collection, the used parameterization, the time period, the suffix, and the compression format. The 48 physics configurations are generated by combining four runoff parameterizations (run1: SIMGM, run2: SIMTOP, run3: NOAHR, run4: BATS), two parameterizations of stomatal conductance (can1: Ball–Berry, can2: Jarvis), three parameterizations of soil moisture stress factor (btr1:NOAHB, btr2: CLM, btr3: SSiB), and two parameterizations of near-surface atmospheric turbulence (tub1: M-O, tub2: Chen97). The simulation domain covers the all of conterminous United States (25°–53°N, 125°–67°W), which is also called the NLDAS-2 testbed (Xia et al., 2012a, b). The simulations were performed at a spatial resolution of 0.125°, which is the same as for NLDAS-2 models. Details of the simulation settings and spin-up run can be found in Section 2.3 of Zheng et al. (2019) and Section 2.2 of Fei et al. (2021).