cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.5281/zenodo.7933666
title: Data on the Model of Loneliness and Smartphone Use Intensity as a Mediator of Self-Control, Emotion Regulation, and Spiritual Meaningfulness in Nomophobia

description: <em>The data collection was conducted in June-July 2022, with 355 participants completing the scales provided through offline paper-pencil surveys in the classroom. The research data was collected from three cities, namely Palembang, Jambi, and Yogyakarta, and consisted of junior high school and high school students, as well as university students. The university student participants were recruited from Ahmad Dahlan University, Jambi University, and Charitas Musi Catholic University. The participants completed the Nomophobia NMP-Q scale (Yildirim & Correia, 2015), the R-UCLA Loneliness Scale (Russell et al., 1980), self-control (Tangney, Baumeister & Boone, 2004), The Difficulties in Emotion Regulation Scale (DERS; Gratz & Roemer, 2004), and Spiritual Meaningfulness which was developed based on the theory of Pargament (2007). All the questionnaires for data collection were in the Indonesian version.</em>
DOI: 10.5281/zenodo.8155227
title: JULES-RED simulation outputs and evaluation at Harwood Forest, UK

description: Repository contains JULES-RED simulation output and processed observations at a mature Sitka spruce plantation (Harwood Forest, Northumberland, UK). Additionally, we have included python files used to process the data, these files may have incomplete comments/documentation. To fully compile please see the JULES rose suite (u-cn548) at the Met Office code repository: code.metoffice.gov.uk. Access can be applied for at http://jules-lsm.github.io/access_req/JULES_access.html.
DOI: 10.5285/e7166724-e7fa-4267-a2a7-6207ede57f70
title: Annual and sub-annual diatom abundance and distribution in the Jurassic, Rothschild Island, Sherman Island and Sky-Blu ice cores (1992-2019 CE)

description: This dataset presents the annual and sub-annual diatom records preserved in a set of ice cores from the Antarctic Peninsula and Ellsworth Land over the 1992-2019 CE interval, as presented in Tetzner et al. (2022). Annual diatom abundance (annual d-abundance) data are provided as annual averages for the 1992-2019 CE interval. Annual diatom concentration (annual d-concentration) data are provided as annual averages over the 1992-2019 CE interval. Sub-annual diatom concentration (sub-annual d-concentration) data are provided for each ice core as depth profiles for the 2002-2006 CE interval. Annual d-abundance and d-concentration are timeseries. Column A represents years between 1992 and 2019 CE. Annual data are listed for each ice core site alphabetically (Jurassic (JUR), Rothschild Island (ROIC), Sherman Island (SHIC) and Sky-Blu (SKBL)). Sub-annual d-concentration data are depth profiles. Column A represents ice depth (m). The ice depth interval presented in each file represents the 2002-2006 CE interval. Diatom abundance data are presented as the number of diatoms identified in an ice core annual layer (diatoms a-1). Diatom concentration data are presented as the number of diatoms identified per unit volume of water (L) contained on each annual (or sub-annual) sample (diatoms L-1). This dataset was created with the support of the Comision Nacional de Investigacion Cientifica y Tecnologica (grant number 72180432).
description: All data were obtained using the discrete sampling method presented in Tetzner et al. (2021). Diatom abundance and diatom concentration records were obtained from discrete annual and sub-annual ice core samples. Discrete annual and sub-annual ice core sections were established based on each ice core hydrogen peroxide (H2O2), non-sea salt sulphate (nssSO4) and MSA annual cycle.
description: All data were obtained using the discrete sampling method presented in Tetzner D, Thomas ER, Allen CS and Wolff EW (2021) A Refined Method to Analyze Insoluble Particulate Matter in Ice Cores, and Its Application to Diatom Sampling in the Antarctic Peninsula. Front. Earth Sci. 9:617043.
description: Diatom abundance and concentration records were obtained by filtering ice core meltwater, following the methods and procedures outlined in Tetzner et al. (2021). Method and procedures were developed using polystyrene microspheres and validated after running duplicates. Missing data are presented as -999.99.
DOI: 10.6073/pasta/c5955cf005ea393fe680f574d1eed200
title: Species trait tissue chemistry: Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes

description: Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.
DOI: 10.6084/m9.figshare.20750209
title: Supporting Information_Soil Fauna

description: Data base of all data used on the paper.
DOI: 10.6084/m9.figshare.22352644
title: Supplementary Material for: A 7-day decitabine included conditioning regimen accelerated donor hematopoietic engraftment while reduced the occurrence of mucositis without interfering with prognosis

description: Introduction: Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is the standard and curative treatment strategy for patients with hematologic malignancies. Recently, decitabine included regimens are investigated by several studies including ours, which may prevent relapse of primary malignant diseases. Methods: This study was to retrospectively evaluate a 7-day decitabine included regimen with reduced dose of idarubicin for patients with hematologic malignancies who underwent allo-HSCT. Results: A total of 84 patients were enrolled, including 24 cases in 7-day and 60 cases in 5-day decitabine groups, respectively. Patients conditioned with 7-day decitabine regimen showed accelerated neutrophil (12.05±1.97 versus 13.86±3.15; u = 9.309, P &lt;0.001) and platelet (16.32±6.27 versus 21.37±8.57; u = 8.887, P &lt;0.001) engraftment compared with those treated with 5-day decitabine regimen. Patients in the 7-day decitabine group showed a significantly lower incidence rate of total (50.00% (12/24) versus 78.33% (47/60); 2 = 6.583, P = 0.010) and grade III or above (4.17% (1/24) versus 31.67% (19/60); 2 = 7.147, P = 0.008) oral mucositis compared to those in 5-day decitabine group. However, the occurrence of other major complications post allo-HSCT and outcome of patients in these two groups were comparable. Conclusion: These results demonstrated that this 7-day decitabine contained new conditioning regimen seems to be feasible and safe for patients with myeloid neoplasms who receive allo-HSCT, and a large-scale prospective study is needed to confirm the findings of this study.
DOI: 10.6084/m9.figshare.22354435
title: Consort checklist

description: consort checklist
DOI: 10.6084/m9.figshare.22354444
title: Master chart

description: master chart
DOI: 10.6084/m9.figshare.22548730
title: Supplementary Material for: Trends, characteristic and outcomes of preterm infants who received post-natal corticosteroid- a cohort study from 7 high-income countries

description: Introduction: Our objective was to evaluate the temporal trend of systemic post-natal steroid (PNS) receipt in infants of 24-28 weeks' gestational age, identify characteristics associated with PNS receipt and correlate PNS receipt with the incidence of bronchopulmonary dysplasia (BPD) and BPD/death from an international cohort included in the iNeo network. Methods: We conducted a retrospective study using data from 2010 to 2018 from seven international networks participating in iNeo (Canada, Finland, Israel, Japan, Spain, Sweden and Switzerland). Neonates of 24 and 28 weeks’ gestational age who survived 7 days and who received PNS were included. We assessed temporal trend of rates of systemic PNS receipt and BPD/death. Results: A total of 47,401 neonates were included. The mean (SD) gestational age was 26.4 (1.3) weeks and birth weight was 915 (238) grams. The PNS receipt rate was 21% (12% to 28% across networks) and increased over the years (18% in 2010 to 26% in 2018; p&lt;0.01). The BPD rate was 39% (28% to 44% across networks) and remained unchanged over the years (35.2% in 2010 to 35.0% in 2018). Lower gestation, male sex, small for gestational age status, and presence of persistent ductus arteriosus (PDA) were associated with higher rates of PNS receipt, BPD, and BPD/death. Conclusion: The use of PNS in extremely preterm neonates increased, but there was no correlation between increased use and the BPD rate. Research is needed to determine the optimal timing, dose, and indication for PNS use in preterm neonates.
DOI: 10.6084/m9.figshare.22592032
title: Supplementary Material for: Prevalence and Mortality Risk of Neurological Disorders during the COVID-19 Pandemic: An Umbrella Review of the Current Evidence

description: Introduction: Coronavirus disease 2019 (COVID-19), a global pandemic, has infected approximately 10% of the world's population. This comprehensive review aims to determine the prevalence of various neurological disorders in COVID-19 without overlapping meta-analysis errors. Methods: We searched for meta-analyses on neurologic disorders following COVID-19 published up to March 14, 2023. We obtained 1,184 studies, of which 44 meta-analyses involving 9,228,588 COVID-19 patients were finally included. After confirming the forest plot of each study and removing overlapping individual studies, a re-meta-analysis was performed using the random effect model. Results: The summarized combined prevalence of each neurological disorder is as follows: stroke 3.39%(95% confidence interval, 1.50-5.27), dementia 6.41%(1.36-11.46), multiple sclerosis 4.00%(2.50-5.00), epilepsy 5.36%(-0.60-11.32), Parkinson's disease 0.67%(-1.11-2.45), encephalitis 0.66%(-0.44-1.77) and Guillain–Barré syndrome 3.83%(-0.13-7.80). In addition, the mortality risk of patients with co-morbidities of COVID-19 is as follows: stroke OR 1.63(1.23-2.03), epilepsy OR 1.71(1.00-2.42), dementia OR 1.90(1.31-2.48), Parkinson's disease OR 3.94(-2.12-10.01). Conclusion: Our results show that the prevalence and mortality risk may increase in some neurological diseases during the COVID-19 pandemic. Future studies should elucidate the precise mechanisms for the link between COVID-19 and neurological diseases, determine which patient characteristics predispose them to neurological diseases, and consider potential global patient management.
DOI: 10.6084/m9.figshare.23360423.v1
title: <strong>CO2 consumption rates in the glacierized Himalayan headwaters: The importance of sulfuric and nitric acid-mediated chemical weathering reactions in geologic carbon cycle</strong>

description: Original dataset and calculations related to chemical weathering and associated CO2 drawdown rates and Inorganic CO2 balance over geological time scale
DOI: 10.15485/1892055
title: Data from: “Significant stream chemistry response to temperature variations in a high-elevation mountain watershed”

description: High-elevation mountain regions, central to global freshwater supply, are experiencing more rapid warming than low-elevation locations. High-elevation streams are therefore potentially critical indicators for earth system and water chemistry response to warming. Here we present concerted hydroclimatic and biogeochemical data from Coal Creek, Colorado in the central Rocky Mountains at elevations of 2700 to 3700 m, where air temperatures have increased by about 2 °C since 1980. We analyzed water chemistry every other day from 2016 to 2019. Water chemistry data indicate distinct responses of different solutes to inter-annual hydroclimatic variations. Specifically, the concentrations of solutes from rock weathering are stable inter-annually. Solutes that are active in soils, including dissolved organic carbon, vary dramatically, with double to triple peak concentrations occurring during snowmelt and in warm years. We advocate for consistent and persistent monitoring of high elevation streams to record early glimpse of earth surface response to warming.1) Coal Creek stream were sampled and measured to answer the question if there is a significant stream chemistry response to climate change in high-elevation watershed2) The file contains data regarding discharge, water temperature and stream chemistry data for 2016-2019 year. Stream chemistry includes dissolved organic and inorganic carbon, chloride, nutrients, cations. The data collection efforts were carried out by the DOE-funded "Advancing a Watershed Hydro-Biogeochemical Theory: Linking Water Travel Time and Reaction Rates Under Changing Climate" project and Watershed Function SFA.
DOI: 10.26179/5d91835e2ccc3
title: University of Canterbury's Vaisala CL51 Ceilometer at Macquarie Island 2016-2018
DOI: 10.5063/f1br8qnc
title: Data: Behavioral flexibility is manipulable and it improves flexibility and problem solving in a new context

description: Behavioral flexibility, the ability to adapt behavior to new circumstances, is thought to play an important role in a species’ ability to successfully adapt to new environments and expand its geographic range. However, flexibility is rarely directly tested in species in a way that would allow us to determine how flexibility works to predict a species’ ability to adapt their behavior to new environments. We use great-tailed grackles (Quiscalus mexicanus; a bird species) as a model to investigate this question because they have recently rapidly expanded their range into North America. We attempted to manipulate grackle flexibility using shaded (light and dark gray) tube reversal learning to determine whether flexibility is generalizable across contexts (multi-access box), and what learning strategies grackles employ. We found that flexibility was manipulable: birds in the manipulated group took fewer trials to pass criterion with increasing reversal number, and they reversed a shade preference in fewer trials by the end of their serial reversals compared to control birds who had only one reversal. Birds that passed their last reversal faster were also more flexible (faster to switch between loci) and innovative (solved more loci) on a multi-access box. All grackles in the manipulated reversal learning group used one learning strategy (epsilon-decreasing) in all reversals, and none used a particular exploration or exploitation strategy earlier or later in their serial reversals. Understanding how flexibility causally relates to other traits will allow researchers to develop robust theory about what flexibility is and when to invoke it as a primary driver in a given context, such as a rapid geographic range expansion.
DOI: 10.5066/p9ng2tf4
title: Radiocarbon dating of silicified wood from around Steamboat Geyser in Norris Geyser Basin, Yellowstone National Park, 2021-2022

description: In the past century, eruptions of Steamboat Geyser in Yellowstone’s Norris Geyser Basin were mainly clustered in three episodes: between 1961 and 1969, between 1982 and 1984, and in a sequence of eruptions that began in 2018 (Reed et al., 2021) and resulted in extensive damage to, and mortality of the surrounding trees. To characterize tree response to geyser activity over time, and the response of geyser activity to climate variability, aerial and ground imagery were analyzed to document changes in tree coverage around the geyser since 1954. Twenty samples of silicified tree remnants were collected from near the geyser vent for radiocarbon (14C) dating to determine if trees grew during periods when the geyser was not erupting because of prolonged droughts in the Yellowstone Region in past centuries. Samples were collected on September 30, 2021, and on April 27, 2022, under the National Park Service Geology Programs Milestones Permit 2016-9. Radiocarbon (14C) dating of the mineralized wood and stable carbon isotope analyses (δ13C) were performed at the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility at the Woods Hole Oceanographic Institution. Measurement and calculation methods are described in the laboratory’s web page. The Bayesian software package Bchron (Haslett and Parnell, 2008) was used with the measured radiocarbon ages and the IntCal20 calibration curve (Reimer et al., 2020) to calculate age probability density functions for the most probable ages of tree growth. Two samples that yielded modern ages were excluded from the calculations. The Bchron software package uses a continuous Markov monotone stochastic process to make inference on a partially observed monotone stochastic process. The probability density functions were generated by randomly calibrating the radiocarbon date of each sample against the IntCal20 curve 10,000 times. References Cited Haslett, J. and Parnell, A., 2008. A simple monotone process with application to radiocarbon?dated depth chronologies. Journal of the Royal Statistical Society: Series C, 57, 399-418. https://doi.org/10.1111/j.1467-9876.2008.00623.x Reed, M.H., Munoz-Saez, C., Hajimirza, S., Wu, S.M., Barth, A., Girona, T., Rasht-Behesht, M., White, E.B., Karplus, M.S., Hurwitz, S. and Manga, M., 2021, The 2018 reawakening and eruption dynamics of Steamboat Geyser, the world’s tallest active geyser: Proceedings of the National Academy of Sciences 118, p.e2020943118. https://doi.org/10.1073/pnas.2020943118 Reimer, P.J., Austin, W.E., Bard, E., Bayliss, A., Blackwell, P.G., Ramsey, C.B., Butzin, M., Cheng, H., Edwards, R.L., Friedrich, M. and Grootes, P.M., 2020. The IntCal20 Northern Hemisphere radiocarbon age calibration curve (0–55 cal kBP). Radiocarbon, 62, 725-757. https://doi.org/10.1017/RDC.2020.41
DOI: 10.5281/zenodo.3873998
title: Bias Corrected Climate Projections from CMIP6 Models for South Asia

description: Bias-corrected data of precipitation, maximum temperature, and minimum temperature are developed for six countries in South Asia. Each zipped country file contains 13 models, and each model includes five scenarios (historical, ssp126, ssp245, ssp370, and ssp585). Inside a scenario folder, a file named PrecipData can be read as the first three columns from the 3rd row contain year month and day numbers. 1st two rows from the 3rd column represent the longitude and latitude.
DOI: 10.5281/zenodo.5115252
title: Silber_et_al_EMC²_gmd-2021-194_code_and_data

description: This Repository includes the code for The Earth Model Column Collaboratory (EMC²) v1.1 described in gmd-2021-194: "The Earth Model Column Collaboratory (EMC²) v1.1: An Open-Source Ground-Based Lidar and Radar Instrument Simulator and Subcolumn Generator for Large-Scale Models" by Silber et al. The Repository also includes the ModelE3 SCM and DHARMA LES model output data and EMC²-processed files used to produce the manuscript's plots together with a Jupyter Notebook for running EMC² and producing these plots. The most recent updates of EMC² can be found at: https://github.com/columncolab/EMC2
DOI: 10.5281/zenodo.7868652
title: Fire INventory from NCAR (FINN) v2.5(MODIS), MOZART VOC speciation

description: The Fire INventory from NCAR (FINN) provides daily global fire emissions at high spatial resolution. The FINN model uses satellite detection of active fires (thermal anomalies) and the land cover type to determine the emission estimates. These emission estimates are based on MODIS active fire detection. Other versions of FINNv2.5 use MODIS+VIIRS fire detections. Please find additional VOC speciations and gridded emissions files at: https://doi.org//10.5065/XNPA-AF09
DOI: 10.5281/zenodo.8010646
title: Tree-Ring Measurement File: Lodgepole Pine Samples Collected at Steamboat Geyser, Yellowstone National Park

description: Decade format (Tucson format) tree-ring measurement file (0.001 mm) for lodgepole pine core samples collected adjacent to Steamboat Geyser in Yellowstone National Park, Wyoming, USA.
description: Tree-ring data is associated with the manuscript: The Relation Between Decadal Droughts and Eruptions of Steamboat Geyser in Yellowstone National Park, USA (submitted for publication in G-Cubed).
DOI: 10.5281/zenodo.8189377
title: Codes and data set for Cryoconite hole model (CryHo)

description: <strong>Codes and data set for cryoconite hole model (CryHo)</strong> (Onuma et al., 2023, <em>The Cryosphere</em>). The content is as below. <strong>- cryho_disclose_v1</strong>: readme, the model codes, parameter files for the model, model outputs and shell scripts for sensitivity tests <br> <strong>- data</strong>: model input data (meteorological conditions), model data of extinction coefficient for ice* and observational data of cryoconite hole depths<br> <strong>- python</strong>: Python scripts for the visualization<br> <strong>- figure</strong>: png files created by the Python scripts<br> <br> *If you have any questions about extinction coefficients for ice, please contact Dr. Teruo Aoki, a co-author in this dataset.
description: The latest model codes are available on GitHub. Please see "Alternate identifiers:".
description: {"references": ["Onuma, Y., Fujita, K., Takeuchi, N., Niwano, M., and Aoki, T.: Modelling the development and decay of cryoconite holes in northwestern Greenland, The Cryosphere, 17, 3309\u20133328, https://doi.org/10.5194/tc-17-3309-2023, 2023."]}
DOI: 10.5287/bodleian:2rbjrk9dy
title: The effects of hunger on experiential and explicit risk-taking
DOI: 10.6073/pasta/67d59b1ad2739791ced5606d7f512ae9
title: Plant traits: Biodiversity II:  Effects of Plant Biodiversity on Population and Ecosystem Processes
DOI: 10.6073/pasta/7ef2de3865062d7352f7b20753ecd39b
title: Plant aboveground biomass data: Biodiversity II: Effects of Plant Biodiversity on Population and Ecosystem Processes

description: Biodiversity II (E120) is designed to determine how the number of plant species affects the dynamics of ecological processes at the population, community, and ecosystem levels. By experimentally manipulating the number of species and the kinds of species, the amount of plant growth and the change from year to year, that result can be examined. Plots are large (9m x 9m actively maintained) and well-replicated, allowing responses of plant pathogens, insect herbivores, seed predators, soil parameters, invasive plant species and other variables to also be studied. Plots were seeded in May 1994 to have 1, 2, 4, 8, or 16 species, with roughly 30 replicates of each diversity level. The species composition of each plot was chosen by random draw from a pool of 18 grassland perennials that included four warm-season (C4) grasses, four cool-season (C3) grasses, four legumes, four non-legume forbs, and two woody species. All species occur in monoculture allowing comparison of responses of each species in monoculture to combinations of these same species. The experiment was established in 1994 by the lead investigators David Tilman, Peter Reich, Johannes Knops, and David Wedin. Experiment 120 is similar to Experiment 123, but it uses larger plots to provide a large capacity for long-term subexperiments.