cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17188/1196136
title: Materials Data on TePb by Materials Project

description: PbTe is Tetraauricupride structured and crystallizes in the cubic Pm-3m space group. The structure is three-dimensional. Pb2+ is bonded in a body-centered cubic geometry to eight equivalent Te2- atoms. All Pb–Te bond lengths are 3.47 Å. Te2- is bonded in a body-centered cubic geometry to eight equivalent Pb2+ atoms.
DOI: 10.17188/1197285
title: Materials Data on PbSe by Materials Project

description: PbSe is Halite, Rock Salt structured and crystallizes in the cubic Fm-3m space group. The structure is three-dimensional. Pb2+ is bonded to six equivalent Se2- atoms to form a mixture of edge and corner-sharing PbSe6 octahedra. The corner-sharing octahedral tilt angles are 0°. All Pb–Se bond lengths are 3.11 Å. Se2- is bonded to six equivalent Pb2+ atoms to form a mixture of edge and corner-sharing SePb6 octahedra. The corner-sharing octahedral tilt angles are 0°.
DOI: 10.5066/p9xvolr1
title: Great Lakes Research Vessel Catch (RVCAT) Database

description: The Great Lakes Research Vessel Catch (RVCAT) database is managed at the Great Lakes Science Center (GLSC). RVCAT has been used as the primary data collection tool aboard the GLSC?s research vessel operations across the Great Lakes. Content: The data set has been collected on various vessel operations on all the Great Lakes and select connecting waterways between the years 1930-2021. Data collection begins in early spring and ends in late fall. Each vessel operation was completed for a specific purpose, or target mission. Data Structure: These data are collected at the GLSC in the RVCAT Oracle database. This database has been broken down into comma separated value (csv) spreadsheets in order to facilitate greater accessibility. These csv spreadsheets are grouped by the sample type (such as Trawl, Gillnet, Mensuration, etc.). The database structure is described within the metadata record (XML), a sample type specific data dictionary, and entity relationship diagram within each sample type's landing page. Data Release Method: An updated version of the data will be published at least yearly, which could include new surveys and/ or updated data. The metadata will also be updated alongside these data releases. Data Quality: Note that the following data release is a snapshot of the database at the time of release. Some data quality checks are still being undertaken after the time of release. Also, a large section of this database includes legacy data that, if issues arise for cannot always be addressed definitively, but nevertheless adds great value to the database. When approaching the following data release, it is suggested to approach the Great Lakes Science Center's researchers for input.
DOI: 10.6073/pasta/6cf8f1903048b148e42deeae33478dd9
title: Cover crop application on dredged sediments increases corn yield through microorganism-associated enzyme-driven nutrient mineralization.

description: Common strategies to mitigate soil degradation of agricultural soils include cover crop application and soil amendment addition. Applying dredged sediments as a soil amendment is gaining popularity since they often provide benefits other amendments lack; however, their use with a cover crop is largely unexplored. To understand how cover crop use changes the restorative properties of dredged sediments, we assessed soil physical and chemical properties, enzymatic activities, and corn yield for plots of dredged sediments with and without a cover crop. Cover crop application on dredged sediments increased corn yields by ~24% when compared to dredged sediments alone. Increases in corn yield were driven by changes in nutrient mineralization, specifically within the nitrogen cycle. The physical and chemical properties of dredged sediments remained unchanged regardless of cover crop application. Our results suggest that when cover crops are applied to dredged sediments, crop yield increased through microorganism-driven nutrient mineralization. However, the physical and chemical environment remained optimal for corn growth within dredged sediments, regardless of cover crop application. This research is a vital step into understanding the use of dredged sediments in agricultural soil systems.
DOI: 10.5281/zenodo.10014386
title: A predictive model of UV-A-riboflavin crosslinking treatment on porcine corneas

description: The crosslinking technique (CXL) is an effective low-risk therapeutic treatment of keratoconus and other ectatic disorders of the human cornea. The effect of corneal CXL is to increase the stiffness of the stroma to prevent the progression of the cornea distortion. Several clinical and experimental studies have shown that the stiffening effects predominantly localise on the anterior portion of the stroma and that the in-depth stiffening distribution is highly dependent on the duration of treatment. Yet, how the stiffening effects distribute through the cornea thickness as a function of the treatment duration is an open question. Here we propose an analytical model of the stiffening profile due to CXL-treatment as a function of the irradiation time. We consider linear and nonlinear variations of the crosslinking effects across the thickness and implement them into a finite element model of the porcine cornea. We present a time-dependent in-depth stiffening profile that allows us to predict the post-operative cornea response to physiological intraocular pressure for different irradiation times. We anticipate that this predictive model will support the development of patient specific 3D models that will allow clinicians to design customised CXL treatment, thus enhancing treatment outcomes.
DOI: 10.25493/bt8x-fn9
title: Brain-wide quantitative data on parvalbumin positive neurons in the mouse

description: This dataset contains quantitative data extracted from four sets of parvalbumin stained sections covering the whole brain of normal, adult PVCre X Rosa26eYFP mice. Section images from the dataset “Distribution of parvalbumin-positive interneurons in the normal adult mouse brain” [1] were analysed using the QUINT workflow. The dataset includes numbers and densities of cells for brain regions defined according to the Allen Mouse brain Common Coordinate Framework (CCF) and point coordinate data representing labelled cells across the brain. A detailed description of the number and distribution on parvalbumin neurons across brain regions is given in the related publication. To facilitate re-use of the data, the dataset furthermore includes atlas maps and segmented images in .png format and .nut files used to run the analyses. References: 1. Laja, A., Bjerke, I., Leergaard, T. & Witter, M. Distribution of parvalbumin-positive interneurons in the normal adult mouse brain. EBRAINS (2020). https://doi.org/10.25493/BXGX-WM4
DOI: 10.17632/t55tp4y9jj.1
title: Dataset of "Understanding the Contagiousness of Covid-19 Strains: A Geometric Approach"

description: Representative snapshots selected from the dominant clusters of the Molecular Dynamics (MD) simulations trajectories of ACE2, antibodies m396 and CR3022, Spike RBD, SARS-CoV-2 main protease, and human hemoglobin (PDB entries 2DD8, 6VW1, 6W41, 2AJF, 6LU7, 6W63, 6Y2E, and 1NQP) as input for the subsequent geometrical analysis. 
MD simulations were performed with the AMBER16 software after a structure preparation step performed in the Molecular Operating Environment (MOE) software. Each structure was solvated in a cubic box with a 12 Å side length, using a three-point (TIP3P) water model using the AmberTools 16 leap program. To adjust the salt concentration to the physiological value of 0.15 M and neutralize the system, Na+ and Cl− ions were incorporated. The minimization of the complexes was carried out in two steps using the steepest descent (5000 steps) and conjugate gradient (5000 steps) methods consecutively. During the first step, the structure was restrained, and only solvent atoms were minimized. Next, the minimization was performed without restraints, utilizing the same parameters. Following the minimization step, the MD simulations were carried out in three stages: heating, density equilibration, and production. Each solvated system was heated to 298 K for 500 ps in the heating stage, with weak restraints applied to all backbone atoms. Next, using weak restraints, density equilibration was performed for 1 ns at 298 K under constant pressure. The last stage of the MD simulations involved carrying out MD production for a duration of 100 ns without any restraints. The protein trajectory was visually inspected using the VMD package. Clustering analysis was performed on the protein trajectory using Amber's CPPTRAJ program.
DOI: 10.25373/ctsnet.11872425
title: Moving the Needle: A Guide to Solving the Global Cardiac Surgery Puzzle for Surgeons, Societies, Students, and Researchers

description: Six billion people worldwide lack access to safe, timely, and affordable cardiac surgical care when needed; this article provides an overview and call to action for all stakeholders to start with global cardiac surgery research in order to map the global disparities and hold countries accountable for the existing gaps in cardiac care.
DOI: 10.25747/zc25-1531
title: Typewritten Digital Representations of Portuguese Cultural Heritage Documents from the 20th century
DOI: 10.25921/dmy1-0595
title: Tropical Cyclone PRecipitation, Infrared, Microwave, and Environmental Dataset (TC PRIMED)
DOI: 10.3334/cdiac/vrc.ndp037
title: Carbon Dioxide Enrichment: Data on the Response of Cotton to Varying CO2 Irrigation, and Nitrogen (NDP-037)

description: This NDP presents data on the effects of continuous CO2 enrichment of cotton during five consecutive growing seasons, 1983 to 1987, under both optimal and limiting levels of water and nitrogen. Unlike many prior CO2-enrichment experiments in growth chambers or greenhouses, these studies were conducted on field-planted cotton at close to natural conditions with open-top chambers. Measurements were made on a variety of crop-response variables during the growing season and upon crop harvest. The initial experiment examined the effects of varying CO2 concentration only. During the following two seasons, the interactive effects of CO2 concentration and water availability were studied. During the final two seasons, the interactions among CO2 concentration, water availability, and nitrogen fertility were investigated.
DOI: 10.48420/14877285
title: Fifty hyperspectral reflectance images of outdoor scenes

description: The 50 zipped files hsi_1.zip, ..., hsi_50.zip in this dataset contain averaged hyperspectral reflectance images of outdoors scenes in Matlab MAT format, each of size ~ 336 × 256 × 33. Each hyperspectral reflectance image was obtained by spectrally scaling an original radiance image 1024 × 1344 × 33 by the reflectance of one or more reference surfaces embedded in the scene. The reflectance image was spatially downsampled to ~336 × 256 pixels by averaging over 4×4 pixels and then smoothed spectrally by averaging over adjacent wavelength values 400, 410, ..., 720 nm. <br><br>The file Scenes_and_Names_Key.pdf contains a key for relating image label, e.g. hsi_1, to scene name and image appearance. <br><br>The three zipped illuminant files illum_4000.zip, illum_6500.zip, and illum_25000.zip contain daylight spectra in Matlab MAT format, each of size 33 × 1, drawn from CIE daylight spectral distributions, which can be used to test the effects of illumination changes on scenes.<br><br>The hyperspectral images were acquired by Sérgio Nascimento, Kinjiro Amano, and David Foster from the Minho region of Portugal, 2002-2003.<br><br>For more information about the dataset and its usage, see README_50_Hyperspectral_Reflectance_Images_2022.pdf and the published article https://dx.doi.org/10.1098/rspb.2021.2483.
DOI: 10.5281/zenodo.7545745
title: Data for "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms"

description: This repository contains the data and external data used by teams in the Kaggle competition "HuBMAP+HPA - Hacking the Human Body" and is part of the paper "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms". The directories contain: <strong>data.zip:</strong> The training and test data, including metadata, used in the Kaggle competition "HuBMAP + HPA - Hacking the Human Body". <strong>Team_1.zip: </strong>External data used by the first place winning solution. <strong>Team_2.zip: </strong>External data used by the second place winning solution.
DOI: 10.5281/zenodo.7545793
title: Trained Models for "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms"

description: This repository contains the trained model weights for the baseline model and the winning solutions in the Kaggle competition "HuBMAP+HPA - Hacking the Human Body", and is part of the paper "Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms". The directory contains: <strong>trained_model_1_weights.zip: </strong>Trained model weights for first place solution (Team 1). <strong>trained_model_2_weights.zip:</strong> Trained model weights for second place solution (Team 2). <strong>trained_model_3_weights.zip: </strong>Trained model weights for third place solution (Team 3). <strong>trained_model_weights_baseline.zip:</strong> Trained model weights for the baseline model.
DOI: 10.6084/m9.figshare.23537673
title: High-resolution emission inventory of full-volatility organic from cooking souce in China during 2015-2021

description: We have compiled high-resolution emission inventory of full-volatility organic from cooking souce in mainland China from 2015 to 2021. This dataset provides multi-dimensional, multi-resolution emissions for anaylsis and application. First, the dataset provide provincial-level emissions by year, province, subsectors and volatility bin in the xlsx file. - The emissions are all in kt/y. - The years include every year from 2015-2021. - The provinces cover all 31 provinces of mainland China. - The subsectors include cuisine-specific commercial cooking (The nine cuisines are home-style cuisine, Chinese fast food and snacks, hotpot, barbecue, Sichuan-Hunan cuisine, Guangdong-Fujian cuisine, Jiangsu-Zhejiang cuisine, other Chinese cuisines and non-Chinese cuisines.), home cooking, and canteen cooking. -The volatility range is expressed as log10<em>C</em>* (μg/m3), with values of ≤-2, -1,0,1,2,3,4,5,6,≥7. For the commercial cooking emissions with point-source resolution, the dataset report the emission amount by volatility bin, location (longitude and latitude), cuisine type and province of every commercial restaurant in China in 2021 in the csv file. To meet the requirements of the atmospheric chemical transport model, we also provide gridded emissions in China in 2021, at a resolution of 27 km × 27 km, by four volatility ranges and three types of cooking sources, in the txt files. Each column represents one of the cooking sources, and each row represents a grid. The grids are arranged in a row-base order starting at the left-bottom corner of the mesh (i.e. the first row in the file represents the grid emissions of the first row and first column in the south-west corner, the second row in the file represents the grid emissions of the first row and second column, and so on). The emissions are all in t/km2/yr. The file GRIDCRO2D_cn27 provide the geographic information of the grid. This file is generated by MCIP based on WRF simulation.
DOI: 10.6084/m9.figshare.23713836
title: Combining Fe nanoparticles and pyrrole-type Fe-N4 sites on less-oxygenated carbon supports for electrochemical CO2 reduction

description: Source data for Figures 1-5 and DFT data for DFT calculation results are provided with this paper.
DOI: 10.25919/c9mm-8960
title: An R-based tool for identifying sex-linked markers from Restriction site-Associated DNA sequencing with applications to elasmobranch conservation

description: The data was collected to study genetic markers that are located on sex chromosomes and develop and R functions to efficiently identify such markers. The raw silico and SNP markers are provided. The Rmarkdown describes the workflow of the R function with the example White Shark data, the BLAST results of sex-linked markers against reference genomes, the conditions and results for the PCR-based sex identification, and the accuracy analysis of the function.
DOI: 10.17632/b9sr7n8987.1
title: aggregating agents and tillage, central Ohio, USA

description: This is an original dataset pertaining to soil properties of untilled and intensively tilled soils at various hillslope positions in central Ohio, USA.
DOI: 10.6073/pasta/8f9b7a10633d6eed2e8c0f2eefb8ac0c
title: Dissolved inorganic nutrients including 5 macro nutrients: silicate, phosphate, nitrate, nitrite, and ammonium from water column bottle samples collected between October and April at Palmer Station, 1991 - 2019.

description: The inorganic plant macronutrients dissolved phosphate, silicate, nitrate, nitrite and ammonium are the major sources of nutrition for phytoplankton growth in seawater (with sunlight and inorganic carbon). Macronutrient distributions reflect the large-scale circulation patterns in the oceans and are useful properties to delineate water masses. Dissolved inorganic nutrients samples are typically collected in every Niskin bottle sample. Water samples are analyzed for dissolved nutrients with recognized standard oceanographic protocols for nutrient autoanalyzers (continuous flow analyzers). In Antarctic waters, dissolved inorganic macronutrients are seldom depleted to limiting concentrations except during heavy prolonged phytoplankton blooms. This is due to the fact that phytoplankton growth is more often limited by light or iron, and to the short growing season.
DOI: 10.5281/zenodo.6524780
title: EUBUCCO

description: This is the data repository for the scientific database <strong>EUBUCCO</strong> <strong>v0.1</strong> (<strong>EU</strong>ropean <strong>BU</strong>ilding stock <strong>C</strong>haracteristics in a <strong>C</strong>ommon and <strong>O</strong>pen database for 206 million individual buildings). <strong>Introduction:</strong> EUBUCCO is a scientific database of individual building footprints for ~206 million buildings across the 27 European Union countries and Switzerland, together with three main attributes -- building type, height and construction year -- included for respectively 45%, 74%, 24% of the buildings. EUBUCCO is composed of 50 open government datasets and OpenStreetMap that have been collected, harmonized and partly validated. EUBUCCO provides the basis for high-resolution urban sustainability studies across scales -- continental, comparative or local studies -- using a centralized source and is relevant for a variety of use cases, e.g. for energy system analysis or natural hazard risk assessments. <strong>Data:</strong> The data of EUBUCCO v0.1 (and of all future versions) can be found at eubucco.com/data <strong>Version history:</strong> EUBUCCO is currently available under its first, beta version (<strong>v0.1</strong>). The first stable version (v1.0) is planned to be released later in 2022. This database is associated with a Data Descriptor paper. This version corresponds to the first journal submission. <strong>License: <em>(!!) This database is composed of files under different licenses</em> <em>(!!) </em></strong>The majority of the data (95+%) is licensed under Open Data Commons Open Database License 1.0 (ODbL). Two datasets are available on this repository under different licenses. Their license is added to their respective file names. One input dataset has a share-alike requirement but which is not ODbL, namely Prague, licensed under CC-BY-SA. The file name is v0_1-CZE_11-OTHER-LICENSE-CC-BY-SA.zip. One input dataset had a non-commercial use requirement, namely Abruzzo, licensed under CC-BY-NC. The file name is v0_1-ITA_1-OTHER-LICENSE-CC-BY-NC.zip. <strong>Code: </strong>The code to reproduce the database or update it can be found here: https://github.com/ai4up/eubucco/releases/tag/v0.1 <strong>Changelog</strong>: v0.1 (Oct 20, 2022) Changed file format from .csv with WKT string to .gkpg (and .csv without geometries) Repaired assignment error of individual building ID per city. v0.1-alpha (May 12, 2022): initial version
DOI: 10.5281/zenodo.8113855
title: Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration

description: Data and MATLAB analysis script for the paper "Processing load, and not stimulus evidence, determines the duration of unconscious visual feature integration"
DOI: 10.6084/m9.figshare.23257496
title: Efficient Electrospray Deposition of Surfaces Smaller than the Spray Plume

description: Raw UV-vis data for the corresponding materials in the manuscript "Efficient Electrospray Deposition of Surfaces Smaller than the Spray Plume". Data corresponds to the use of rhodamine B as an internal standard where the peak of interest will be at approximately 550 nm.
DOI: 10.5517/ccdc.csd.cc2bk9hq
title: CCDC 2161583: Experimental Crystal Structure Determination

description: Related Article: Li Shi, Peihua Ma, Naqin Yang, Jun Zheng, Xinan Yang, Yunxia Qu|2024|J.Mol.Struct.|1295|136732|doi:10.1016/j.molstruc.2023.136732
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gyty6
title: CCDC 2292789: Experimental Crystal Structure Determination

description: Related Article: Shuai Fan, Tai Jiang, Muhammad Nasir Siddique, Lei Zhang, Jian Liu, Xiaolei Wang|2023|Org.Lett.|25|7832|doi:10.1021/acs.orglett.3c03087
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2bj0lh
title: CCDC 2160346: Experimental Crystal Structure Determination

description: Related Article: Li Shi, Peihua Ma, Naqin Yang, Jun Zheng, Xinan Yang, Yunxia Qu|2024|J.Mol.Struct.|1295|136732|doi:10.1016/j.molstruc.2023.136732
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.15151/esrf-es-1345032304
title: Mechanisms of maize biofortification induced by Fe nano fertilizers studied with EXAFS

description: The aim of the proposal is to analyse Fe local structure with XANES and EXAFS in plant tissues (roots leaf+stem and kernels) treated with both Fe nano-fertilisers and standard Fe salts. The new trend in agriculture biofortification is to use nano formulations to diminish an excessive diffusion of fertilizers in the soil and the quantity of fertilizer utilized. These new strategies may have effects on the Fe speciation within the plant cell that can change Fe homeostasis and its role in proteins as a key oxidative stress quencher enzymatic cofactor. This project will provide fundamental information for the comprehension of the fate of Fe nano-fertilisers in maize (Zea mays L.).