cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.3886/e116384v1
title: Replication data for: The Distributive Impacts of Financial Development: Evidence from Mortgage Markets during US Bank Branch Deregulation

description: Well-functioning credit markets play a key role in boosting overall economic growth, but their impact on distributional outcomes is much less clear. I use a quasi-experimental setting provided by branch banking deregulation, an important episode of US financial development, to study the distributive impacts of finance. Following removal of geographic restrictions on banks in the 1980s and early 1990s, mortgage access increased for lower-middle income groups, young, and also black households. These effects were driven by commercial banks, the only financial institutions subject to the policy. Banks' new screening technologies may have been responsible for this expansion of credit.
DOI: 10.5281/zenodo.6342522
title: MD simulation of POPC bilayer with CHARMM36 force field, 500 mM NaCl

description: MD simulation of POPC bilayer with CHARMM36 force field, 500 mM NaCl Dataset contains simulation files including centered and equilibrated trajectory Nacl500mM-60-500ns.xtc. System: POPC bilayer in water Number of lipids: 200 (100/leaflet) Number of waters: 8880 Salt: NaCl Concentration: 500 mM Number of cations: 80 Simulation time: 500 ns Simulation engine: GROMACS 2019.5 Temperature: 300 K
DOI: 10.5281/zenodo.6623388
title: Formation of super-dense hydrogen monolayer on mesoporous silica

description: Source data of all figures in the main text and in the supplementary information of the paper '<em>Formation of super-dense hydrogen monolayer on mesoporous silica</em>'.
DOI: 10.5281/zenodo.6643301
title: MAgPIE model - Land use change and carbon emissions of a transformation to timber cities

description: MAgPIE source code for reproducibility Land use change and carbon emissions of a transformation to timber cities<br> (Nature Communications, 2022) DOI: 10.1038/s41467-022-32244-w Abhijeet Mishra1,2,*, Florian Humpenöder1, Galina Churkina1, Christopher P.O. Reyer1, Felicitas Beier1,2, Benjamin Leon Bodirsky1, Hans Joachim Schellnhuber1, Hermann Lotze-Campen1,2, and Alexander Popp1 1 Potsdam Institute for Climate Impact Research (PIK), Member of Leibniz Association, P.O.Box 60 12 03, 14412,6<br> Potsdam, Germany<br> 2 Humboldt University of Berlin, Department of Agricultural Economics, Unter den Linden 6, 10099 Berlin,8<br> Germany Abhijeet Mishra<br> *mishra@pik-potsdam.de<br> May 2022 See README.md for further details.
DOI: 10.5281/zenodo.6644129
title: Aeolian Saltation Data at Duck, NC - 4 August 2020

description: Datasets of sequence linescan lidar, Sensit aeolian sediment transport data, and wind measurements were collected at the US Army Engineer Research and Development Center's Field Research Facility on 4 August 2020 associated with the passage of the Tropical Storm Isaias. Dataset 1. Matlab .mat files are provided with 30 minutes of linescan lidar data, with the following variables; Xmat = cross-shore distance of each point in meters in the US Army Corps of Engineers Field Research Facility local coordinate system Ymat = alongshore distance of each point in meters in the US Army Corps of Engineers Field Research Facility local coordinate system Zmat = vertical elevation of each point in meters in the NAVD88 datum Amat = amplitude of returned lidar signal Tmat = time of each point sample in matlab format reflectance = reflectance of the returned lidar signal Each lidar linescan measures at approximately 7.1 Hz for 30 continuous minutes. The filenames include the date in yyyymmdd-HHMM-SS format for the start time of the scan. Dataset 2: Processed saltation height data generated from the point clouds are provided as a grid in 'IsaiasLidarSaltationHeight_202008040900to202008041500.mat' . The variables in the file are 'saltation_times' which are 1s time intervals in matlab format, 'saltation_distances' which are 0.1 m grid cells in the FRF cross-shore coordinate system, and 'SALTATION_HEIGHT_m' providing the lidar-derived maximum saltation height for each grid cell and time interval with available data between 4 August 2020 0900 UTC to 4 August 2020 1500 UTC. Dataset 3: An excel spreadsheet entitled "InSituData.xlsx' provides time series data of 1Hz wind speed using a Dyacon WSD-1 cup anemometer collected from a 5 m mast on the beach and logged using a Dyacon MDL-700 data logger. 1 Hz data of sediment counts from a stacked array of Sensit H14-LIN horizontal flux sensors, which were logged using a Campbell CR1000X logger, and were located at 8 cm, 12 cm, and 16 cm off of the bed in close proximity to the lidar are also provided.
DOI: 10.5281/zenodo.6859486
title: Data for "Stability Experiments: The Overlooked Dual of Memory Experiments"

description: The code written, circuits generated, and statistics collected for the plots shown in the paper "Stability Experiments: The Overlooked Dual of Memory Experiments".
DOI: 10.6084/m9.figshare.16818595
title: MarsWRF simulations for MSL rover stops in Glen Torridon

description: This dataset contains simulations from the MarsWRF atmospheric model for MSL rover stops in the Glen Torridon region of Gale crater (used in Sullivan et al., 2021 "The Aeolian Environment in Glen Torridon, Gale Crater, Mars."<br>Data is provided for every minute over seven sols at the following 12 locations: Aberlady, Kilmarie, Rigg, Teal Ridge, Glen Etive, Hutton, Edinburgh, Creig, Glasgow, Mary Anning, Groken, Sands of Forvie.<br>File details:<br>Dimensions: location = 12 time = 10080 threshold = 24<br>Variables:localtime Size: 10080x1 Dimensions: time Datatype: single<br>thresholds (motion thresholds used for for flux and dirflux) Size: 24x1 Dimensions: threshold Datatype: single<br> u (E-W direction wind speed at 1.5 m) Size: 10080x12 Dimensions: time,location Datatype: single<br> v (N-S direction wind speed at 1.5 m) Size: 10080x12 Dimensions: time,location Datatype: single<br> ustar (friction speed) Size: 10080x12 Dimensions: time,location Datatype: single<br> density (atmsopheric density) Size: 10080x12 Dimensions: time,location Datatype: single<br> flux (magnitude of net sand flux for 24 thresholds) Size: 10080x12x24 Dimensions: time,location,threshold Datatype: single<br> dirflux (magnitude of net sand flux for 24 thresholds) Size: 10080x12x24 Dimensions: time,location,threshold Datatype: single
DOI: 10.5066/p9yi55ug
title: Datasets from the focus group series of stakeholder engagement efforts to inform integrated water availability assessment data delivery

description: The U. S. Geological Survey- Water Resources Mission Area is currently developing Integrated Water Availability Assessments (IWAAs) - multi-extent (regional and national), stakeholder driven, near real-time water availability census and prediction for human and ecological uses. To provide appropriate user accessibility to data delivery systems developed for IWAAs, a user-centered design process including stakeholder focus groups was used with the objective of determining potential water data user needs and preferences. The metadata presented here contains the questions and answers associated with the stakeholder focus group series held from 08/04/2020 to 09/16/2020. The question set and prompts used during these focus groups were divided into the categories of decisions and data. Additionally, each focus group date has a dataset organized by a participant code, question type, and questions and answers according to decision type (decisions or data). Entries indicated as "participant did not answer question" indicates no response to the question, whereas entries indicated as "NA" indicates a response was given earlier and empty cells were filled out with the letters NA. Lastly, data analysis was presented as requirement statements indicating stakeholder data format and needs per each focus group date and location.
DOI: 10.15483/1455031
title: LANL - WRF-LES - Neutral - TTU

description: This dataset includes large-eddy simulation (LES) output from a neutrally stratified atmospheric boundary layer (ABL) simulation of observations at the SWIFT tower near Lubbock, Texas on Aug. 17, 2012. The dataset was used to assess LES models for simulation of canonical neutral ABL. The dataset can be used for comparison with other LES and computational fluid dynamics model outputs.
DOI: 10.23728/b2share.5356b112d6bd424aa79b10d397ee1b81
title: Extended data_Lab-scale and on-field industrial composting of biodegradable plastic blends for packaging

description: This record contains extended data relating to the methodology of the publication: Lab-scale and on-field industrial composting of biodegradable plastic blends for packaging
DOI: 10.3886/e120246v2
title: Data and Code for: Methods Matter: P-Hacking and Publication Bias in Causal Analysis in Economics

description: The credibility revolution in economics has promoted causal identification using randomized control trials (RCT), difference-in-differences (DID), instrumental variables (IV) and regression discontinuity design (RDD). Applying multiple approaches to over 21,000 hypothesis tests published in 25 leading economics journals we find that the extent of p-hacking and publication bias varies greatly by method. IV (and to a lesser extent DID) are particularly problematic. We find no evidence that: (1) Papers published in the `Top 5' journals are different to other; (2) The journal revise and resubmit process mitigates the problem; (3) Things are improving through time.<br>
DOI: 10.5281/zenodo.1207242
title: Adverse Effects Of Chemotherapy On The Teeth And Surrounding Tissues Of Children With Cancer: A Systematic Review With Meta-Analysis

description: Datasets of the journal publication.
DOI: 10.5281/zenodo.3888300
title: AIDER (Aerial Image Dataset for Emergency Response Applications)

description: <strong>AIDER </strong>(<strong>A</strong>erial <strong>I</strong>mage <strong>D</strong>ataset for <strong>E</strong>mergency <strong>R</strong>esponse applications): The dataset construction involved manually collecting all images for four disaster events, namely Fire/Smoke, Flood, Collapsed Building/Rubble, and Traffic Accidents, as well as one class for the Normal case. The aerial images for the disaster events were collected through various online sources (e.g. google images, bing images, youtube, news agencies web sites, etc.) using the keywords ”Aerial View” or ”UAV” or”Drone” and an event such as Fire”,”Earthquake”,”Highway accident”, etc. Images are initially of different sizes but are standardized prior to training. All images where manually inspected to first contain the event that was of interested and then to have the event centered at the image so that any geometric transformations during augmentation would not remove it from the image view. During the data collection process the various disaster events were captured with different resolutions and under various condition with regards to illumination and viewpoint. Finally, to replicate real world scenarios the dataset is imbalanced in the sense that it contains more images from the Normal class. This subset includes around 500 images for each disaster class and over 4000 images for the normal class. This makes it an imbalanced classification problem. It is advised to further enhance the dataset that random augmentations are probabilistically applied to each image prior to adding it to the batch for training. Specifically there are a number of possible transformations such as geometric (rotations, translations, horizontal axis mirroring, cropping and zooming), as well as image manipulations (illumination changes, color shifting, blurring, sharpening, and shadowing).
description: © 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, in-cluding reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This dataset is associated with the following publications: C. Kyrkou and T. Theocharides, "EmergencyNet: Efficient Aerial Image Classification for Drone-Based Emergency Monitoring Using Atrous Convolutional Feature Fusion," in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 1687-1699, 2020, doi: 10.1109/JSTARS.2020.2969809. C. Kyrkou and T. Theocharides, "Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles," 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Long Beach, CA, USA, 2019, pp. 517-525, doi: 10.1109/CVPRW.2019.00077. https://www.ieee.org/publications_standards/publications/rights/rights_policies.html
DOI: 10.5281/zenodo.6544626
title: GOES-16 simulated BTs over the Southeastern US.

description: This dataset contains simulated brightness temperatures from WRF V3.9.1.1.1 model output used in "<strong>Examining the Role of the Land Surface On Convection Using High-Resolution Model Forecasts Over the Southeastern United States</strong>", Henderson, Otkin, and Mecikalski, submitted to JGR-Atmospheres, in review.
DOI: 10.5281/zenodo.6671070
title: Evolution of ocean circulation in the North Atlantic Ocean during the Miocene: impact of the Greenland Ice Sheet and the Eastern Tethys Seaway

description: This dataset contains atmosphere and ocean outputs (NetCDF files) from modeling experiments with realistic early Miocene paleogeography as well as sensitivity to Greenland Ice Sheet and Eastern Tethys Seaway. The set of simulation targets the evolution of the North Atlantic Deep Water during the Miocene. The simulations have been run using the IPSL-CM5A2 General Circulation Model (Sepulchre et al. 2020 - IPSL-CM5A2 – an Earth system model designed for multi-millennial climate simulations, GMD). It includes 3 ocean-atmosphere simulations. Data are monthly averages over the last 100 years of the simulations.
DOI: 10.5281/zenodo.6907978
title: ACS WITH AND WITHOUT COVID19

description: ACS patients who didn't get Covid-19 before admission to CCU, and patients who had gotten Covid-19 in the last three months before they were admitted to CCU
DOI: 10.5281/zenodo.6992464
title: Supporting information for the paper: The temporal relationship between Terrestrial Gamma-ray flashes and associated optical pulses from lightning

description: Supporting information for the paper: The temporal relationship between Terrestrial Gamma-ray flashes and associated optical pulses from lightning, consisting of 2 data files and 221 presentations of TGF-Optical emission events observed by ASIM between end of March 2019 and November 2020. See 0_READ_ME for information about the individual files and variables.
DOI: 10.6084/m9.figshare.19196966
title: Supplementary Data accompanying: "Raptors avoid the confusion effect by targeting fixed points in dense aerial prey aggregations"

description: This archive contains all of the custom-written MATLAB scripts, functions, and workspace files supplied as Supplementary Data accompanying the paper: <br> "Steering clear of the confusion effect: aerial predators target fixed points in dense prey aggregations" by Caroline H. Brighton, Laura N. Kloepper, Lucy Larkman, Lillias Zusi, Kathryn McGowan, Graham K. Taylor <br> as described in the README.txt. The remaining files are contained within the zipped folder Brighton_et_al.zip, together with the set of checkerboard images used for single camera calibration, and the results of all of the guidance simulations contained in the spreadsheet simulation_data.xlsx.
DOI: 10.6084/m9.figshare.19880800
title: Oceanobacillus alkalisoli sp. nov., an alkaliphilic bacterium isolated from saline-alkaline soil

description: Supplementary material for<em>'Oceanobacillus alkalisoli</em> sp. nov., an alkaliphilic bacterium isolated from saline-alkaline soil', as published in <em>International Journal of Systematic and Evolutionary Microbiology</em>.’
DOI: 10.6084/m9.figshare.20422224
title: Genus and species level mean wood density of DRC tree species

description: This dataset contains mean genus- and species-specific wood density values (and associated uncertainty) of tree species found in the National Forest Inventory (NFI) of the Democratic Republic of Congo. The dataset has been produced using the BIOMASS R package (v. 2.1.5.9). The dataset is associated to the following publication : <br> Lamulamu A., Ploton P., Birigazzi L., Xu L., Saatchi S.S. and Kibambe Lubamba J.P., <em>in review</em>. Assessing the predictive power of Democratic Republic of Congo’s national spaceborne biomass map over independent test samples. <em>Remote Sensing</em>.
DOI: 10.17632/njn6x2kjhg.1
title: Association of methanogens and different human host phenotypes_Table

description: Table 1. Association of methanogens and different human host phenotypes (published before 2019)
DOI: 10.26180/19896718.v3
title: Increasing hypoxia progressively slows early embryonic development in an oviparous reptile, the green turtle, Chelonia mydas

description: This dataset identifies white spot size through time on green turtle eggs incubated in various hypoxic and normoxic conditions. It is presented here as supplemental data to the paper published in Royal Society Open Science, "Increasing hypoxia progressively slows early embryonic development in an oviparous reptile, the green turtle, Chelonia mydas" (doi:10.1098/rsos.220709). Includes field name descriptions on a separate tab.
DOI: 10.5281/zenodo.6551229
title: Data repository - Land use change and carbon emissions of a transformation to timber cities

description: Data and model source code for the publication: Land use change and carbon emissions of a transformation to timber cities<br> (Nature Communications, 2022)<br> DOI: 10.1038/s41467-022-32244-w Abhijeet Mishra1,2,*, Florian Humpenöder1, Galina Churkina1, Christopher P.O. Reyer1, Felicitas Beier1,2, Benjamin Leon Bodirsky1, Hans Joachim Schellnhuber1, Hermann Lotze-Campen1,2, and Alexander Popp1 1 Potsdam Institute for Climate Impact Research (PIK), Member of Leibniz Association, P.O.Box 60 12 03, 14412,6<br> Potsdam, Germany<br> 2 Humboldt University of Berlin, Department of Agricultural Economics, Unter den Linden 6, 10099 Berlin,8<br> Germany Abhijeet Mishra<br> *mishra@pik-potsdam.de<br> May 2022 See README.txt for further details.
DOI: 10.6084/m9.figshare.19382216
title: Supplementary Material for: Sociodemographic, Clinical, Lifestyle and Psychological Correlates of Peripheral Neuropathy among 2–12-Year Colorectal Cancer Survivors

description: Background Peripheral neuropathy (PN) is a debilitating complication among colorectal cancer (CRC) survivors that can become chronic. No large-scale study has yet analyzed correlates in multivariable models. We did multivariable analyses to find correlates of PN. Methods In 1,516 all-stage Dutch CRC survivors, cross-sectional data were collected on sensory, motor, autonomic and total PN, sociodemographic (age, sex, education, employment, partner), clinical (time since diagnosis, tumor location, stage, chemotherapy, radiotherapy, co-morbidities), lifestyle (alcohol, smoking, physical activity, body mass index), psychological factors (anxiety, depression, personality) and health-related quality of life (HRQoL). After multiple imputation, correlates were analyzed with linear regressions and eliminated with backwards selection. Results CRC survivors (69 years; 42% female) were on average five years post-diagnosis, and 28-65% reported PN. PN was associated with older age, being male (sensory) or female (motor), shorter time since diagnosis, chemotherapy, co-morbidities, anxiety, depression, and worse scores on HRQoL domains, and pain, nausea, vomiting, insomnia, constipation and financial problems. Conclusions In multivariable analyses, PN is affected by receiving chemotherapy, aging, sex, co-morbidities, stress-related factors and HRQoL in CRC survivors. Future PN-related studies can include these factors, and they can be examined in longitudinal studies to gain more knowledge about chronicity and severity of PN.
DOI: 10.6084/m9.figshare.20202131
title: Supplementary dataset for 'Industrialised fishing nations largely contribute to floating plastic pollution in the North Pacific subtropical gyre'

description: Floating plastic items retrieved from the North Pacific Garbage Patch in 2019 with identifiable evidence of brand, language, origin, or age.
DOI: 10.6084/m9.figshare.20390040
title: Supplementary Material for: Clinical Characteristics and Treatment Outcome of Central Nervous System Nocardiosis: A Systematic Review of Reported Cases

description: <b><i>Background:</i></b> The clinical spectrum of systemic nocardiosis encompasses pulmonary and disseminated disease. Central nervous system (CNS) involvement is an important feature of disseminated disease with significant mortality and high relapse rate, especially in those with suppressed cell-mediated immunity. This systematic review aimed to evaluate the epidemiology, clinical features, diagnosis, therapeutic interventions, and outcome in patients with CNS nocardiosis. <b><i>Methods:</i></b> A literature search was performed in major databases (PubMed, Google Scholar, and Scopus) by using distinct keywords: “CNS disease,” “<i>Nocardia</i>,” “meningitis,” “brain abscess,” “disseminated disease,” and “Cotrimoxazole.” We included all patients ≥18 years with CNS nocardiosis reported between January 2000 and December 2020. <b><i>Results:</i></b> A total of 129 papers were included in the final analysis. The mean age of patients was 55 ± 16 years, and the majority were male (70.8%). <i>Nocardia farcinica</i> was the commonest species (39.6%), followed by <i>Nocardia nova</i> (5.9%). Thirty-four percent of the patients were found to be immunocompetent. Corticosteroid use was the most common predisposing factor (55.8%). Among neuroimaging findings, brain abscess was most common (86.9%), followed by leptomeningeal enhancement (12.1%). The overall case-fatality rate in CNS disease was 22.8%. On multivariate analysis, patients who underwent surgery (OR 2.4, 95% CI 0.99–4.11, <i>p</i> value 0.046) had better survival than those treated with antimicrobial therapy alone. Immunodeficient state (OR 0.32, 95% CI 0.15–0.90, <i>p</i> value 0.019) was independently associated with poor outcome. <b><i>Conclusion:</i></b> CNS nocardiosis carries significant mortality, especially in immunodeficient patients. We advocate the use of surgery combined with antimicrobials to improve clinical outcome.
DOI: 10.1285/i20356609v14i1p359
title: How the Invisibles Become Essentials: Migrant Workers' Rights in Italy during a Pandemic Crisis

description: The article analyses the new law decree on regularisation introduced in Italy during the Covid-19 crisis, which subsumes human rights protections for sans papiers to the economic imperatives of labour market needs. The new law decree in fact seems to be in line with a more utilitarian logic, oriented towards the preservation of productive sectors at risk. Apparently, those who up until now have been invisible, neglected, and forgotten have suddenly become essential, at least in the numbers necessary to provide for the needs of the labour market. The work presented here examines the Italian context before, during and after the application of the amnesty, which saw the regularization of a limited number of migrants working in the agricultural sector. We intend to argue here that the regularization put into practice by the Italian government must be critically challenged, both in the premises and in the effects produced.
DOI: 10.18112/openneuro.ds001338.v1.0.0
title: ParanoiaStory
DOI: 10.5281/zenodo.1204501
title: A Tale Of Two Retinal Domains: Near-Optimal Sampling Of Achromatic Contrasts In Natural Scenes Through Asymmetric Photoreceptor Distribution

description: Spectral image data of an early spring daytime forest scene recorded using a ‘‘hyperspectral scanner’’. For details, see Baden, Schubert et al. (2013) doi: 10.1016/j.neuron.2013.09.030. For a script to access the data, see github.com/eulerlab/published_data.