cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.25975765
title: Data from "Limited function of road verges as habitat for species connecting plant-bee networks in remnant semi-natural grasslands"

description: The data set contains data on plant-bee interactions, landscape variables around sampled sites and flower abundances needed to calculate the results in the publication: Henriksen et al. 2024 "Limited function of road verges as habitat for species connecting plant-bee networks in remnant semi-natural grasslands". Phil. Trans. R. Soc. B 379: 20230168. https://doi.org/10.1098/rstb.2023.0168<br>The dataset consist of four datafiles and R code to run the analysis presented in the paper:flower_abundances.csv - flower resources in semi-natural grasslands and road vergeslandscape_variables.csv - variables describing the structure around focal semi-natural grasslands and coordinates of grasslands (UTM zone 33N)plant_bee_pollen_interactions.csv - interactions between plants and bees in semi-natural grasslands and road verges identified from pollen carried on the body of the beesplant_bee_visits - observed bee visits on plants in semi-natural grasslands and road vergesSNG_multi-layer_network.Rmd - R markdown file with code to quantify and visualize the multi-layer network and interaction turnover presented in the paper.
DOI: 10.6084/m9.figshare.6955370.v4
title: Skewed temperature dependence affects range and abundance in a warming world (Code)

description: These codes were produced by Amy Hurford (ahurford@mun.ca) and Christina Cobbold.<br><br>Below is a list of all the figures in the manuscript paired with the code that produces them. These codes run on MATLAB. Import sections of code are repeated across files with small changes.<br><br>Figure 1 - Figure1_Defins.m (dependency on subtightplot.m)<br>Figure 2 - Figure2_Niches.m<br>Figure 3 - Figure3_DensitySkewness.m (dependency on subtightplot.m)<br>Figure 4 - Figure4_MainResults.m (dependency on EffectOf.m)<br>Figures S1 and S2 - FigureS1_S2.m<br>Figures S3-S5 - FiguresS3S4S5.m<br>Figure S6 - FigureS6_ExtinctionDebt.m<br>Figure S7 - FigureS7_Dispersal.m (dependency on EffectOfD.m)<br>Figure S8 - FigureS8_AssymetricDispersal.m (dependency on EffectOf3.m)<br>Figure S9, S10 and S12 - Figure4_MainResults.m (dependency on EffectOf.m)<br>Figure S11 - FigureS11_CCEliminatesCycles.m<br>Figures S13 and S14 - FiguresS13S14_Stochastic.m (depency on EffectOfS.m)<br>——————————<br>EffectOf.m - performs the calculations for Figure4_MainResults.m<br>EffectOfD.m - performs the calculations for FigureS7_Dispersal.m<br>EffectOf3.m - performs the calculations for FigureS8_AssymetricDispersal.m <br>EffectOfS.m - performs the calculations for FiguresS13S14_Stochastic.m<br>subtightplot.m - controls the spacing of subpanels in plots.<br>
DOI: 10.7795/720.20240112
title: Additional data for the publication "Intercomparison to validate implementations of different laboratories of algorithms for the analysis of surface texture"
DOI: 10.15468/dl.6bvwts
title: Occurrence Download

description: A dataset containing 16846 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Commiphora Jacq."
 ]
}

 The dataset includes 16846 records from 163 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0172393-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.gtvuup
title: Occurrence Download

description: A dataset containing 26628 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Searsia F.A.Barkley"
 ]
}

 The dataset includes 26628 records from 191 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0154326-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/p5m2hg5zt4.2
title: Systematic Review: AI applied to predictive cardiovascular risk analysis in liver transplantation

description: Systematic Review: AI applied to predictive cardiovascular risk analysis in liver transplantation
DOI: 10.21251/63d59840-e88b-43b8-a0da-74a152162f1f
title: The impact of COVID-19 on the physical activity and sedentary behaviour levels of pregnant women with gestational diabetes

description: The dataset for the research into the impact of COVID-19 on the activity levels of pregnant women with gestational diabetes. Questionnaires completed on Qualtrics between 5th July and 20th July 2020.
DOI: 10.21986/caida.data.as-rank
title: CAIDA UCSD AS Rank

description: AS Rank is CAIDA's ranking of Autonomous Systems (AS) (which approximately map to Internet Service Providers) and organizations (Orgs) (which are a collection of one or more ASes). This ranking is derived from topological data collected by CAIDA's Archipelago Measurement Infrastructure and Border Gateway Protocol (BGP) routing data collected by the Route Views Project and RIPE NCC. ASes and Orgs are ranked by their customer cone size, which is the number of their direct and indirect customers.
DOI: 10.25522/manifesto.mpdssa.2017a
title: Manifesto Project Dataset: South America

description: The Manifesto Project Dataset provides the scientific community with parties’ policy positions derived from a content analysis of parties’ electoral manifestos. It covers over 1.000 parties from 1945 until today in over 50 countries on five continents.
 The content analysis aims to discover party and presidential stances by quantifying their statements and messages to their electorate. A unified classification scheme with an accompanying set of rules was developed to make such statements comparable. Analysing manifestos allows for measurement of party and presidents’ policy positions across countries and elections within a common framework. Manifestos are understood to be parties’ only and presidential candidates’ main authoritative policy statements and, therefore, as indicators of the parties’ policy preferences at a given point in time.
 The Manifesto Project Data Collection was originally created by the Manifesto Research Group (MRG) in the late 1970s and the 1980s. The work was continued under the name Comparative Manifestos Project (CMP) at the WZB Berlin Social Science Center in the 1990s and 2000s. Since 2009 the Manifesto Research on Political Representation (MARPOR) project updates and extends the dataset. It is funded by the German Research Foundation (DFG) and is still located at the WZB Berlin Social Science Center.
description: Content coding
DOI: 10.25817/40r8-t633
title: Ion Solvation Repository (IonSolvR)
title: IonSolvR

description: The importance of ion-solvent interactions in predicting specific ion effects in contexts ranging from viral activity through to electrolyte viscosity cannot be underestimated. Moreover, investigations of specific ion effects in nonaqueous systems, highly relevant to battery technologies, biochemical systems and colloid science, are severely limited by data deficiency. Here, we report IonSolvR ? a collection of more than 3,300 distinct nanosecond-timescale ab initio molecular dynamics simulations of ions in aqueous and non-aqueous solvent environments at varying effective concentrations. Density functional tight binding (DFTB) is used to detail the solvation structure of up to 52 ions in 28 different protic and aprotic solvents. DFTB is a fast quantum chemical method, and as such enables us to bridge the gap between efficient computational scaling and maintaining accuracy, while using an internally-consistent simulation technique. We validate the database against experimental data and provide guidance for accessing individual IonSolvR records.
DOI: 10.5067/trmm/tmpa/day-e/7
title: TRMM (TMPA-RT) Near Real-Time Precipitation L3 1 day 0.25 degree x 0.25 degree V7
DOI: 10.5281/zenodo.10995044
title: Data and code for "Carbon cycle instability for high-CO2 exoplanets: implications for habitability"

description: Data supporting "Carbon cycle instability for high-CO2 exoplanets: implications for habitability," Graham and Pierrehumbert, 2024, Astrophysical Journal (under review at time of upload)



Global climate model (GCM) simulation output necessary to reproduce figures in paper. Netcdf (.nc) format.



For simulations receiving instellation of 1250 W m-2, the format is atmos_monthly_[co2 mixing ratio]ppmv_S1250.nc

For other simulations, the format is: atmos_monthly_[co2 partial pressure]bar_S[675, 750, 800, or 1000].nc



Continental configuration land mask used in GCM simulations. Netcdf (.nc) format.



land.nc



Python scripts to



post-process climate simulation data to calculate global weathering rates according to WHAK or MAC weathering 



isca_weathering_calc.py



reproduce all model-based figures 



figures 1-8: isca_plot_maker.py

figure 9: isca_weathering_calc.py
DOI: 10.5281/zenodo.10999812
title: Data for: Electrical conductivity of dense MgSiO3 melt under static compression

description: Dataset S1. Experimental conditions.
DOI: 10.5281/zenodo.11829921
title: Metagenomic insights into microbial community structure and metabolism in alpine permafrost on the Tibetan Plateau

description: Microbes in Tibetan permafrost

A new version (v5) of this repository is available. To download the files, please click on 'Version v5' in the right panel of the page.



This project repository associated with the following manuscript:




Luyao Kang, Yutong Song, Rachel Mackelprang, Dianye Zhang, Shuqi Qin, Leiyi Chen, Linwei Wu, Yunfeng Peng and Yuanhe Yang*. Metagenomic insights into microbial community structure and metabolism in alpine permafrost on the Tibetan Plateau.


Abstract

        Permafrost, characterized by its frozen soil, serves as a unique habitat for diverse microorganisms. Understanding these microbial communities is crucial for predicting the response of permafrost ecosystems to climate change. However, large-scale evidence regarding stratigraphic variations in microbial profiles remains limited. Here, we analyze microbial community structure and functional potential based on 16S rRNA gene amplicon sequencing and metagenomic data obtained from a ∼1,000 km permafrost transect on the Tibetan Plateau. We find that microbial alpha diversity declines but beta diversity increases down the soil profile. Microbial assemblages are primarily governed by dispersal limitation and drift; the importance of drift decreases but that of dispersal limitation increases with soil depth. Moreover, genes related to reduction reactions (e.g., ferric iron reduction, dissimilatory nitrate reduction, and denitrification) are enriched in the subsurface and permafrost layers. In addition, microbial groups involved in alternative electron accepting processes are more diverse and contribute highly to community-level metabolic profiles in the subsurface and permafrost layers, likely reflecting the lower redox potential and more complicated trophic strategies for microorganisms in deeper soils. Overall, these findings provide comprehensive insights into large-scale stratigraphic profiles of microbial community structure and functional potentials in permafrost regions.

        For the description of the files, please see README.md file.
DOI: 10.5281/zenodo.8099089
title: Transport and decomposition time series

description: Transport and decomposition annual time series.
DOI: 10.5281/zenodo.8164709
title: Dataset for the Tyrosine-protein kinase SYK antibody screening study

description: This project contains the following underlying data included in a study aiming at characterizing antibodies for Tyrosine-protein kinase SYK. The study is available on Zenodo (https://doi.org/10.5281/zenodo.6566940).
DOI: 10.6084/m9.figshare.22657699.v1
title: TP Ex for analysis- Weekly paclitaxel baseline data- Revised.xlsx

description: Baseline data of Weekly paclitaxel, carboplatin and cetuximab (PCC) combination followed by nivolumab in platinum-sensitive recurrent and /or metastatic squamous cell carcinoma of head and neck– a retrospective analysis from two institutions in India
DOI: 10.6084/m9.figshare.25886545
title: Supplementary Material for: Association of Diabetes with Changes in Blood Pressure during Hemodialysis: A Secondary Analysis of the Frequent Hemodialysis Network Daily Trial.

description: Introduction
Diabetes mellitus is a common cause of kidney failure and is often complicated by autonomic neuropathy, which may have implications for blood pressure (BP) homeostasis during hemodialysis (HD).

Methods
In this post hoc analysis of the Frequent Hemodialysis Network (FHN) Daily Trial, we used random effects Poisson and linear regression models to estimate the association of diabetes (versus not) with intra-dialytic hypotension (IDH) and peri-dialytic BP parameters, respectively. We tested for differential associations according to the randomized treatment (6/week vs 3/week HD) and pre-HD systolic BP. 

Results
Of the 244 patients with intra-dialytic BP data, 100 (41%) had diabetes at baseline. The mean age was 51 ± 14 years; 39% were female. In adjusted models, diabetes (vs. not) was associated with a 93% higher risk of developing IDH (IRR 1.93; 95% CI 1.26, 2.95). There was no evidence that the randomized treatment assignment modified the association between diabetes and IDH (P-interaction=0.32), but more potent associations were noted among those with higher pre-HD systolic BP (P-interaction &lt;0.001). Diabetes (vs. not) was associated with a lower adjusted nadir intra-HD BP (-4.2; 95%CI -8.3, -0.2 mmHg), but not with the pre- or post-HD systolic BP. 

Conclusions
Among participants of the FHN Daily trial, patients with diabetes had a higher risk of intra-dialytic hypotension and lower nadir intra-HD systolic BP than patients without diabetes, even when undergoing HD up to 6 times per week.
DOI: 10.6084/m9.figshare.25940968.v1
title: PRISMA_2020_checklist_AYS

description: Open Science Framework: PRISMA-ScR checklist : atural agents that are neuroprotective against mitochondria: a bibliometric-based research mapping 1998–2024, from cells to mitochondria
DOI: 10.6084/m9.figshare.25942447
title: Supplementary Material for: The Paradox of Aging-Related Fears: Fear of Loneliness in Old Age as a Motivator for Loneliness Preventive Activities

description: Introduction: Aging is often seen as a challenging process, prompting individuals to form emotional reactions in response to the perceived challenges associated with growing older, manifested as aging-related fears. The present study focuses on the fear of loneliness in old age, a significant concern considering the socioemotional importance of close relationships in later life. Drawing from proactive coping theory, the study explores the association between fear of loneliness and aging preparation. This research aims to investigate whether the fear of loneliness motivates individuals to engage in activities aimed at preventing loneliness in old age. For exploratory purposes, we consider both linear and non-linear effects at the inter-individual level, as well as the intra-individual level differences between fear levels and behavioral outcomes. In addition, we also investigate the moderating role of trait Neuroticism in these associations.
Methods: Data from the "Ageing as Future (AAF)" project in Germany (N = 1,183) spanning from 2012 to 2023 were utilized. A multilevel model considered both intra- and inter-individual variations, incorporating time-varying variables and covariates.
Results: Linear mixed model analysis revealed that increased fear of loneliness corresponded to heightened engagement in preventive activities linearly, while a quadratic term indicated an inverted U-shaped relationship. The inclusion of occasion-specific deviation scores showed that individuals were more inclined to engage in preventive activities when experiencing heightened fear of loneliness than usual. This impact of deviation in fear perception was particularly evident among those with high levels of trait Neuroticism. 
Conclusion: The study reveals that fear of loneliness in old age is associated with proactive engagement in preventive activities, with those prone to higher levels of fear or worry being particularly affected. These results emphasize the importance of a moderate level of fear in driving action without succumbing to excessive pessimism or unrealistic optimism. The findings contribute to understanding the motivational role of aging-related fears and hold implications for gerontological practices, emphasizing the need for a balanced fear perception in addressing potential negative impacts of aging. Future research could explore moderators and long-term consequences of motivational aging-related fears.
DOI: 10.6084/m9.figshare.26048437
title: Supplementary Material for: Neurotrophin-3 facilitates stemness properties and associates with poor survival in lung cancer

description: Introduction: 
Cancer stem cells (CSCs) shape the tumor microenvironment via neuroendocrine signaling and orchestrate drug resistance and metastasis. Cytokine antibody array demonstrated the upregulation of neurotrophin-3 (NT-3) in lung CSCs. This study aims to dissect the role of NT-3 in lung CSCs during tumor innervation. 
Methods: 
Western blotting, quantitative reverse transcription-PCR, and flow cytometry were used to determine the expression of the NT-3 axis in lung CSCs. NT-3-knockdown and NT-3-overexpressed cells were derived lung CSCs, followed by examining the stemness gene expression, tumorsphere formation, transwell migration and invasion, drug resistance, soft agar colony formation, and in vivo tumorigenicity. Human lung cancer tissue microarray and bioinformatic databases were used to investigate the clinical relevance of NT-3 in lung cancer.
Results:
NT-3 and its receptor tropomyosin receptor kinase C (TrkC) were augmented in lung tumorspheres. NT-3 silencing (shNT-3) suppressed the migration and anchorage-independent growth of lung cancer cells. Further, shNT-3 abolished the sphere-forming capability, chemo-drug resistance, invasion, and in vivo tumorigenicity of lung tumorspheres with a decreased expression of CSC markers. Conversely, NT-3 overexpression promoted migration and anchorage-independent growth and fueled tumorsphere formation by upregulating the expression of CSC markers. Lung cancer tissue microarray analysis revealed that NT-3 increased in patients with advanced stage, lymphatic metastasis and positively correlated with Sox2 expression. Bioinformatic databases confirmed a co-expression of NT-3/TrkC-axis and demonstrated that NT-3, NT-3/TrkC, NT-3/Sox2, and NT-3/CD133 worsen the survival of lung cancer patients.
Conclusion: 
NT-3 conferred the stemness features in lung cancer during tumor innervation, which suggests that NT-3-targeting is feasible in eradicating lung CSCs.
DOI: 10.15468/dl.eu5zmd
title: Occurrence Download

description: A dataset containing 323 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Prestoea acuminata var. acuminata"
 ]
}

 The dataset includes 323 records from 25 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0034476-231002084531237/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.j6adaq
title: Occurrence Download

description: A dataset containing 9342 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is Mexico",
 "OccurrenceStatus is Present",
 {
 "or" : [
 "TaxonKey is Arachnida",
 "TaxonKey is Ixodida"
 ]
 }
 ]
}

 The dataset includes 9342 records from 42 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0348076-200613084148143/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15468/dl.n9bmvm
title: Occurrence Download

description: A dataset containing 22 species occurrences available in GBIF matching the query:
{
 "and" : [
 "Country is United Kingdom of Great Britain and Northern Ireland",
 "TaxonKey is Drosophila limbata Roser, 1840"
 ]
}

 The dataset includes 22 records from 3 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0006629-240130105604617/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.15470/g16vln
title: Natusfera. iNaturalist en Espa?a

description: iNaturalist Espa?a se llama Natusfera, que es parte de la red global de iNaturalist (https://www.inaturalist.org/sites/network) y constituye el Nodo de iNaturalist en Espa?a. Est? gestionada desde 2020 por el Nodo Nacional de Informaci?n en Biodiversidad, GBIF.ES (https://www.gbif.es/), que pertenece al CSIC, y tambi?n impulsada por el CREAF (http://www.creaf.cat/es). Natusfera es una plataforma que permite registrar, organizar y compartir observaciones de naturaleza, conocer a otros entusiastas y aprender sobre el mundo natural. Promueve la divulgaci?n de la biodiversidad de Espa?a con la participaci?n de una amplia variedad de interesados como excursionistas, gu?as de naturaleza, cazadores, aficionados a las aves, recolectores de hongos, t?cnicos de espacios naturales, ecologistas, alumnos, maestros, pescadores, etc., a trav?s de la ciencia ciudadana. Sus objetivos son crear conciencia en las comunidades y conocer el mundo natural y su biodiversidad para promover su exploraci?n, conectando las diferentes percepciones y sensibilidades de sus participantes. Todo aquel interesado amante de la naturaleza y quien desee conocer m?s sobre la biodiversidad de nuestro pa?s, puede participar utilizando esta herramienta de ciencia ciudadana, contribuyendo as? al fortalecimiento de la investigaci?n cient?fica. Las observaciones con grado de investigaci?n y licencias de uso abiertas de Natusfera se publican --junto a las del resto de la red global de iNaturalist-- en GBIF.ORG desde donde se pueden acceder bajo el juego de datos de iNaturalist (https://www.gbif.org/es/dataset/50c9509d-22c7-4a22-a47d-8c48425ef4a7). Acceso a la plataforma web Natusfera: https://spain.inaturalist.org/
DOI: 10.5067/lanq53rtj2dr
title: SnowEx20 Grand Mesa IOP Snow Water Equivalent and Snow Density, Version 1
DOI: 10.5067/m9tpf6nwl53k
title: SnowEx20 Grand Mesa IOP Lidar Data, Version 1
DOI: 10.5281/zenodo.11092052
title: Prolonged multi-phase magmatism due to plume-lithosphere interaction as applied to the High Arctic Large Igneous Province

description: This data set contains parameter files to run the ASPECT models shown in the associated publication in G³, as well as required postprocessing files. A README file in the main folder contains more information on how to use this data set.
DOI: 10.5281/zenodo.11237340
title: In-situ parameters, nutrients and dissolved carbon distribution in the water column and pore waters of Arctic Fjords (Western Spitsbergen) during a melting season

description: A nutrient distribution such as phosphate (PO₄³⁻), ammonium (NH₄⁺), nitrate (NO₃⁻), dissolved silica (Si), total dissolved nitrogen (TN), dissolved organic nitrogen (DON) together with dissolved organic carbon (DOC) and inorganic carbon (DIC), was investigated during a high melting season in 2021 in the western Spitsbergen fjords (Hornsund, Isfjorden, Kongsfjorden, and Krossfjorden). Both the water column and the pore water were investigated for nutrients and dissolved carbon distribution and gradients. The water column concentrations of most measured parameters such as PO₄³⁻, NH₄⁺, NO₃⁻, Si, and DIC showed significant changes among fjords and water masses. In addition, pore water gradients of PO₄³⁻, NH₄⁺, NO₃⁻, Si, DIC and DOC revealed significant variability between fjords and are likely substantial sources of the investigated elements for the water column. The obtained dataset reflects differences in hydrography and biogeochemical ecosystem function of the western Spitsbergen fjords and may form the base for further modelling of physical oceanographic and biogeochemical processes within the investigated fjord systems.