cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.10691170
title: Long-term rainfall regression surfaces for the Kruger National Park, South Africa: a spatio-temporal review of patterns from 1981 to 2015

description: As an important bottom-up driver of ecosystem processes, rainfall is intrinsically linked to the dynamics of vegetation and species distributions through its effects on soil moisture content and surface water availability. Rainfall effects are thus spatially and temporally specific to different environmental role-players. Knowledge of its spatio-temporal pattern is therefore essential to understanding natural ecosystem flux and potential climate change effects. Climate change poses a serious threat to protected areas in particular, as they are often isolated in fragmented landscapes and confined within hard park boundaries. In consequence, a species' natural movement response to resulting climate-induced niche shifts is often obstructed. Long-term, accurate and consistent climate monitoring data are therefore important resources for managers in large protected areas like the Kruger National Park (Kruger). In this article we model local rainfall measurements as a function of global rainfall surfaces, elevation and distance to the ocean using a generalized additive mixed effects model to produce fine-scale (1 km2) monthly rainfall surfaces from July 1981 to June 2015. Results show a clear seasonal cycle nested within an oscillating multi-decadal trend. Most noticeably, seasonality is shifting both temporally and spatially as rainfall moves outside of the typical dry/wet periods and areas. In addition, high-rainfall seasons are generally receiving more rainfall while low-rainfall seasons are receiving less. Northwestern regions of the park are experiencing more extreme annual rainfall differences, while far northern and southern regions show greater seasonality changes. The well-described north–south and east–west rainfall gradient is still visible but the spatial complexity of this pattern is more pronounced than expected. Taken together, we show that Kruger's spatio-temporal rainfall patterns are changing significantly in the short to medium term. The resulting raster data set is made freely available here to promote holistic ecosystem studies and support longer-term climate change research.

Modelled 1 km² resolution monthly rainfall grids, derived from in situ rainfall measurements, environmental covariates and the Climate Hazards Infrared Precipitation with Stations (CHIRPS) global climate surfaces (Funk et al., 2015), are provided here. Monthly rainfall follows a Southern Hemisphere rainfall year i.e July year i to June year i+1 from 1981 to 2015. Files are provided in two formats, namely:

.GRD (Grid)rain_monthly_July1981toJune2015_utm.grdrain_monthly_July1981toJune2015_utm.gri

.TIF (GeoTIFF)rain_monthly_July1981toJune2015_utm.tifrain_monthly_July1981toJune2015_utm.tif.aux.xml

Layer names are stored in a separate .CSV file (names_rain_monthly_July1981toJune2015_utm.csv) and a R script is provided to assist reading files into R (R Core Team 2023): readRainfall.R. The full aricle is open access and avialable here: MacFadyen et al 2018
DOI: 10.5281/zenodo.10691171
title: Long-term rainfall regression surfaces for the Kruger National Park, South Africa: a spatio-temporal review of patterns from 1981 to 2015

description: As an important bottom-up driver of ecosystem processes, rainfall is intrinsically linked to the dynamics of vegetation and species distributions through its effects on soil moisture content and surface water availability. Rainfall effects are thus spatially and temporally specific to different environmental role-players. Knowledge of its spatio-temporal pattern is therefore essential to understanding natural ecosystem flux and potential climate change effects. Climate change poses a serious threat to protected areas in particular, as they are often isolated in fragmented landscapes and confined within hard park boundaries. In consequence, a species' natural movement response to resulting climate-induced niche shifts is often obstructed. Long-term, accurate and consistent climate monitoring data are therefore important resources for managers in large protected areas like the Kruger National Park (Kruger). In this article we model local rainfall measurements as a function of global rainfall surfaces, elevation and distance to the ocean using a generalized additive mixed effects model to produce fine-scale (1 km2) monthly rainfall surfaces from July 1981 to June 2015. Results show a clear seasonal cycle nested within an oscillating multi-decadal trend. Most noticeably, seasonality is shifting both temporally and spatially as rainfall moves outside of the typical dry/wet periods and areas. In addition, high-rainfall seasons are generally receiving more rainfall while low-rainfall seasons are receiving less. Northwestern regions of the park are experiencing more extreme annual rainfall differences, while far northern and southern regions show greater seasonality changes. The well-described north–south and east–west rainfall gradient is still visible but the spatial complexity of this pattern is more pronounced than expected. Taken together, we show that Kruger's spatio-temporal rainfall patterns are changing significantly in the short to medium term. The resulting raster data set is made freely available here to promote holistic ecosystem studies and support longer-term climate change research.

Modelled 1 km² resolution monthly rainfall grids, derived from in situ rainfall measurements, environmental covariates and the Climate Hazards Infrared Precipitation with Stations (CHIRPS) global climate surfaces (Funk et al., 2015), are provided here. Monthly rainfall follows a Southern Hemisphere rainfall year i.e July year i to June year i+1 from 1981 to 2015. Files are provided in two formats, namely:

.GRD (Grid)rain_monthly_July1981toJune2015_utm.grdrain_monthly_July1981toJune2015_utm.gri

.TIF (GeoTIFF)rain_monthly_July1981toJune2015_utm.tifrain_monthly_July1981toJune2015_utm.tif.aux.xml

Layer names are stored in a separate .CSV file (names_rain_monthly_July1981toJune2015_utm.csv) and a R script is provided to assist reading files into R (R Core Team 2023): readRainfall.R. The full aricle is open access and avialable here: MacFadyen et al 2018
DOI: 10.5281/zenodo.10691110
title: Poplar stem scRNA-seq integrated dataset
DOI: 10.5281/zenodo.10691111
title: Poplar stem scRNA-seq integrated dataset
DOI: 10.6084/m9.figshare.24298096
title: supplementary_tables.xlsx

description: supplementary tables
DOI: 10.6084/m9.figshare.24298096.v1
title: supplementary_tables.xlsx

description: supplementary tables
DOI: 10.6084/m9.figshare.25264723
title: Datasets S1-S5

description: Datasets used in the study
DOI: 10.6084/m9.figshare.25264723.v1
title: Datasets S1-S5

description: Datasets used in the study
DOI: 10.34740/kaggle/dsv/7676047
title: 📒 Meta Kaggle ported to MS SQL SERVER 2022 DB
DOI: 10.15151/esrf-es-1318526959
title: The Israeli BAG

description: The Israeli BAG encompass most MX groups in Israel and is highly diverse and versatile in its scientific interests and convictions. In the last year some groups which are not regarded as genuine MX have been joining our BAG as users of the bioSAXS BM29 station adding to the diversity of the BAG. It is not straightforward to set descriptive summary that covers all the topics. A central theme in several BAG members could be regarded is molecular virology such as, the molecular basis for cell entry of viruses, from the Arenaviridae family of viruses, design of Vaccines against HVC by targeting HCV E2 envelope (Env) glycoprotein for neutralizing antibodies (nanobodies). The group of Rouvunski focuses on studying arthropod borne viruses (dengue, West Nile, Zika, Israel Turkey Meningoencephalitis) and recently coronaviruses (SARS-CoV-2, MERS, OC43) and their envelope proteins. On another approach we attempt to discover therapeutics against Chikungunya Virus by targeting the Clk1.
DOI: 10.15151/esrf-es-1413558779
title: Macromolecular crystallography at the Philipps University Marburg (MarBAG)

description: Located at the Philipps-University-Marburg and the Max-Planck-Institute for terrestrial Microbiology in Marburg, Germany, the MarBAG employs X-ray crystallography to reveal fundamental mechanisms of key biological processes involving synthesis, assembly and function of macromolecular machines and cellular structures (e.g. CO2-fixation pathways, flagellar biosynthesis, CRISPR-Cas Systems, cell-wall-related processes, phage-bacteria relationships). Furthermore, we are interested in plant-pathogen interactions and the function of nucleotide derived signalling molecules in cellular stress physiology and organization. A 200 keV cryo-electron microscope was recently installed at the UMR to complement our efforts to structurally characterize macromolecular complexes, which do not readily crystallize. Thus, we can now routinely screen and quality check samples for cryo-electron microscopy and produce structures of 3Å resolution.
DOI: 10.15151/esrf-es-1442319021
title: Synthesis of Proton Conductive Zirconium Metal–Organic Framework Glasses

description: The emerging class of metal-organic framework glasses (MOF glasses) holds promise for achieving high proton conductivity due to their disordered structure, which enhances proton mobility. However, designing the properties of MOF glasses remains challenging because they are mostly prepared using top-down approaches, and only a few selected MOFs show a stable liquid state while most of them decompose upon heating. Moreover, proton-conductive MOF glasses, to date, are not water-stable, which limits their applications. Here we propose an entirely novel bottom-up strategy to synthesize tailored Zr-MOF glasses for achieving proton conductivity and water stability. The MOF glasses were synthesized by crosslinking Zr-clusters, leveraging modular building blocks such as pre-designed functional linkers, precise control over local geometry, and post-synthesis modifications to achieve proton conductivity, thermal stability, processability, and water stability.
DOI: 10.14469/hpc/13786
title: Grubbs catalyst Def2-TZVPPD, G = -1740.432369

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13802
title: Grubbs catalyst Def2-TZVPPD isomer ready for alkene insertion G = -1740.425903

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13803
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate ==&gt; TS, G = -1818.928461 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13823
title: Grubbs catalyst Def2-TZVPPD Ru dimethyl-cyclobutane intermediate, G= -1897.451361

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13827
title: Grubbs catalyst Def2-TZVPPD Ru TS, PR-P-AX2Eq G = -1740.417252 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13824
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate ==&gt; TS, G = -1818.928461 IRC ==&gt; TS Alkene complex formation -1818.920826 =&gt; IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13833
title: Grubbs catalyst Def2-TZVPPD Ru metallocyclobutane Cl and P transposed ==&gt; G =-1818.944080 (-1818.939388 )

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13836
title: Grubbs catalyst Def2-TZVPPD, Carbene rotation G = -1740.431640 IRC =&gt; Cl and P transposed G = -1740.432385

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13856
title: Grubbs catalyst Def2-TZVPPD TS all the way from alkene to metallacyclobutane, G = -1818.911028 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13797
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13801
title: Grubbs catalyst Def2-TZVPPD isomer ready for alkene insertion, G = -1740.426092, DG = 3.9

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13820
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate ==&gt; TS, G = -1818.928461 IRC ==&gt; TS Alkene complex formation -1818.920826

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13831
title: Grubbs catalyst Def2-TZVPPD, TS for carbene rotation G = -1740.431640

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13857
title: Grubbs catalyst Def2-TZVPPD TS Alkene complex formation, G = -1818.910718 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13798
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate ==&gt; TS, G = -1818.928461

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13814
title: Grubbs catalyst Def2-TZVPPD alkene dissociation TS, G = -1818.921073, DG = 9.0

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13817
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate, G = -1818.939388 ==&gt; C2v -1818.937636 (1 -ve)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13835
title: Schrock catalyst Def2-TZVPPD Ru cyclobutane intermediate ==&gt; IRC ==&gt; Alkene complex P and Cl transposed, G = -1818.939558 (G = -1818.930352)

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13853
title: Grubbs catalyst Def2-TZVPPD TS Alkene complex formation, G = -1818.910718

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13818
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate ==&gt; TS, G = -1818.928461 IRC ==&gt; Alkene complex G = -1818.930352

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13826
title: Grubbs catalyst Def2-TZVPPD Ru TS, PR-P-AX2Eq G = -1740.417252

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13829
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate ==&gt; TS, G = -1818.928461, DG = 6.9 Cl and P transposed ==&gt; TS G = -1818.93450, D = 5.8

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13832
title: Grubbs catalyst Def2-TZVPPD, TS for carbene rotation G = -1740.431640 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13851
title: Grubbs catalyst Def2-TZVPPD TS Alkene complex formation -1818.920826 ==&gt; Carbene rotated G = -1818.911028

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13799
title: Grubbs catalyst Def2-TZVPPD ethene, G = -78.502983

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13819
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate, G = -1818.939388 =&gt; P and Cl transposed, G= -1818.944098

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13828
title: Grubbs catalyst Def2-TZVPPD, carbene rotated, G =-1740.440700 + ethene = -1,818.943683

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13834
title: Grubbs catalyst Def2-TZVPPD Ru cyclobutane intermediate ==&gt; TS, G = -1818.928461, DG = 6.9 Cl and P transposed ==&gt; TS G = -1818.93450 IRC

description: Gaussian 16 (C01) calculation
DOI: 10.14469/hpc/13837
title: Grubbs catalyst Def2-TZVPPD Ru metallocyclobutane Cl and P transposed ==&gt; G =-1818.944080 (-1818.939388 ) NBO7

description: Gaussian 16 (C01) calculation
DOI: 10.6084/m9.figshare.22146332
title: DNA alignments for nt and nt12 datasets

description: Sequence matrix used in the study
DOI: 10.6084/m9.figshare.25256404.v1
title: Supplementary Material for: Ear-marking Relief: A Meta-Analysis on the Efficacy of Auricular Acupressure in Alleviating Anxiety Disorders

description: Abstract
Background: The increasing worldwide mental health crisis, notably anxiety, emphasizes the urgency for available and effective interventions. Traditional therapies, although beneficial, pose limitations due to their considerable costs and possible adverse effects, thereby inviting alternative treatments such as auricular acupressure. This non-pharmacological, integrative method, underpinned by Eastern and Western medical principles, presents a significant prospect for managing anxiety.

Objective：This study aims to evaluate the existing evidence on the efficacy of auricular acupressure (AA) in reducing anxiety, as elucidated through a systematic review.

Methods: A comprehensive search of randomized controlled trials was conducted across various databases: the Cochrane Central Register of Controlled Trials (CENTRAL), PubMed, EMBASE, Web of Science, Chinese National Knowledge Infrastructure (CNKI), China Biology Medicine (CBM), Wan Fang, and Database for Chinese Technical Periodicals (VIP). Two reviewers retrieved the pertinent studies, assessed their methodological quality. A meta-analysis was then conducted, incorporating data from all relevant time points.
Results: Upon examining 25 studies encompassing 1909 participants, it was discerned that auricular acupressure (AA) significantly diminished anxiety (SMD=-1.1074; 95% CI, -1.348 to -0.801; z=7.70, p&lt;0.01). Subgroup analyses indicated that neither an increased number of auricular points nor extended intervention augmented effects. Larger effect sizes were associated with probing and avoidance of sham acupressure. Notably, 23 of the 25 studies exhibited some bias, suggesting further research is necessary.

Conclusions: The extant evidence advocates for auricular acupressure (AA) as an effective supplementary intervention that reduces patient anxiety. The results hint at a potential placebo effect elicited by sham acupressure, necessitating rigorous control group definitions in future inquiries. The study findings suggest that fewer acupressure points and shorter intervention durations could effectively alleviate anxiety symptoms. Nonetheless, the significant heterogeneity across the studies underscores the requirement for more stringent research methodologies to substantiate these conclusions.
DOI: 10.6084/m9.figshare.19793180
title: Additional file 2 of Breast cancer risks associated with missense variants in breast cancer susceptibility genes

description: Additional file 2.
DOI: 10.6084/m9.figshare.19793180.v1
title: Additional file 2 of Breast cancer risks associated with missense variants in breast cancer susceptibility genes

description: Additional file 2.
DOI: 10.6084/m9.figshare.7734572
title: Additional file 3: of Involvement of jasmonic acid, ethylene and salicylic acid signaling pathways behind the systemic resistance induced by Trichoderma longibrachiatum H9 in cucumber

description: Table S3. Enriched GO terms based on up-regulated DEPs in the T. longibrachiatum H9-inoculated plants in comparison to untreated plants. (XLS 960 kb)
DOI: 10.6084/m9.figshare.7734572.v1
title: Additional file 3: of Involvement of jasmonic acid, ethylene and salicylic acid signaling pathways behind the systemic resistance induced by Trichoderma longibrachiatum H9 in cucumber

description: Table S3. Enriched GO terms based on up-regulated DEPs in the T. longibrachiatum H9-inoculated plants in comparison to untreated plants. (XLS 960 kb)
DOI: 10.6084/m9.figshare.7734584
title: Additional file 5: of Involvement of jasmonic acid, ethylene and salicylic acid signaling pathways behind the systemic resistance induced by Trichoderma longibrachiatum H9 in cucumber

description: Table S5. Enriched GO terms based on down-regulated DEPs in the T. longibrachiatum H9-inoculated plants in comparison to untreated plants. (XLS 459 kb)
DOI: 10.6084/m9.figshare.7734584.v1
title: Additional file 5: of Involvement of jasmonic acid, ethylene and salicylic acid signaling pathways behind the systemic resistance induced by Trichoderma longibrachiatum H9 in cucumber

description: Table S5. Enriched GO terms based on down-regulated DEPs in the T. longibrachiatum H9-inoculated plants in comparison to untreated plants. (XLS 459 kb)
DOI: 10.6084/m9.figshare.7734599
title: Additional file 7: of Involvement of jasmonic acid, ethylene and salicylic acid signaling pathways behind the systemic resistance induced by Trichoderma longibrachiatum H9 in cucumber

description: Table S7. Enriched KEGG pathways based on up-regulated DEPs in the T. longibrachiatum H9-inoculated plants in comparison to untreated plants. (XLS 51 kb)
DOI: 10.6084/m9.figshare.7734599.v1
title: Additional file 7: of Involvement of jasmonic acid, ethylene and salicylic acid signaling pathways behind the systemic resistance induced by Trichoderma longibrachiatum H9 in cucumber

description: Table S7. Enriched KEGG pathways based on up-regulated DEPs in the T. longibrachiatum H9-inoculated plants in comparison to untreated plants. (XLS 51 kb)
DOI: 10.34740/kaggle/dsv/7676157
title: IDCLD: Subject Study on Driving Style Preferences
DOI: 10.6084/m9.figshare.25264789
title: Raw 3ds data for a manuscript on Anderson Localization of Bogoliubov-de Gennes Quasiparticles in a Gapless Superconductor

description: Utilizing scanning tunneling spectroscopic imaging, we demonstrate Anderson localization of Bogoliubov-de Gennes quasiparticles at the Fermi-level of a gapless superconductor Sr<sub>2</sub>VO<sub>3-x</sub>FeAs. The Anderson localization of quasiparticles has been predicted theoretically as one crucial mechanism to understand the disordered superconductivity but no experiment so far can access it. We further found that Anderson localization can be controlled by applying magnetic field and Anderson localized quasiparticles lead to unusual superconductivity, the puddled superconductivity with a disordered Josephson vortex network. Our findings, thus, not only make a notable breakthrough in understanding disordered superconductors but also open an avenue for exploring and manipulating complex quantum phenomena where superconductivity, disorder, and magnetic degrees of freedom are intricately intertwined.
DOI: 10.14473/csda/wwumy2/khldnr
title: TI_CHPS104, 105, 204, 205, 304, 305.pdf

description: Technical information
DOI: 10.6084/m9.figshare.20317809
title: Additional file 3 of Differential expression profile and in-silico functional analysis of long noncoding RNA and mRNA in duck embryo fibroblasts infected with duck plague virus

description: Additional file 3: Table S3. Summary of RNASeq Mapping.
DOI: 10.6084/m9.figshare.20317809.v1
title: Additional file 3 of Differential expression profile and in-silico functional analysis of long noncoding RNA and mRNA in duck embryo fibroblasts infected with duck plague virus

description: Additional file 3: Table S3. Summary of RNASeq Mapping.
DOI: 10.6084/m9.figshare.25264819
title: <b>Unmasking spiritual void as a predictor of burnout:</b><b> </b><b>A study of health workers during the pandemic in Turkey</b>

description: Healthcare professionals are facing a crisis of burnout that is receiving increasing attention. The COVID-19 pandemic has intensified interest in this scenario. The aim of this study was to determine the prevalence of burnout among healthcare workers in a university hospital during the COVID-19 pandemic and to examine the potential impact of lack of spirituality on burnout. In this cross-sectional study, 546 employees were reached and a questionnaire, the Religious and Unspiritual Scale and the Copenhagen Burnout Scale were used to collect data. The study revealed that non-spirituality was a significant predictor of personal burnout (β=1.27; p=0.045). The findings suggest that lack of spirituality may be a potential pathway that complicates recovery for healthcare professionals struggling with burnout. This highlights the need for healthcare organizations to recognize the importance of spiritual health and incorporate it into their employee support programs.