cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/cxhy5rd3zy
title: Data for preliminary evaluation of the FastCAP for users of the Nurotron cochlear implant

description: Hypothesis:
The FastCAP paradigm will produce results highly correlated with traditional ECAP measurements while reducing the time required for data collection. Additionally, FastCAP thresholds will be significantly correlated with behavioral thresholds and comfortable loudness levels in CI users.
Data Description:
The data consist of ECAP and FastCAP measurements across five electrodes at four different stimulation levels per electrode. These data were collected from 40 CI users. Measurements include:
1.ECAP N1 amplitude and FastCAP N1 amplitude at four stimulation levels.
2.ECAP N1 latency and FastCAP N1 latency at four stimulation levels.
3.FastCAP Test 1 N1 amplitude and FastCAP Test 2 N1 amplitude at the same four stimulation levels.
4.FastCAP Test 1 N1 latency and FastCAP Test 2 N1 latency at the four stimulation levels.
5.FastCAP thresholds, T-levels (behavioral thresholds), and C-levels (comfortable loudness levels) for individual participants across each test electrode.
This structured dataset allows for direct comparison between the traditional ECAP and the new FastCAP paradigm at various stimulation levels. The inclusion of test-retest data for FastCAP (Test 1 and Test 2) helps evaluate the reliability of the new method, while threshold data (FastCAP thresholds, T-levels, and C-levels) provides insights into the potential clinical utility of FastCAP for cochlear implant users.
Data Gathering:
ECAP measurements: Collected using the traditional method with a slower stimulation rate of 2.5 Hz. FastCAP measurements: Collected using the new method with a stimulation rate of 33.3 Hz, where multiple recordings were averaged directly on the CI hardware before transmission. Data were gathered across multiple sessions to assess test-retest reliability.
Notable Findings:
Strong correlations were found between ECAP and FastCAP measurements for both N1 latency (r = 0.84) and N1 amplitude (r = 0.97). FastCAP demonstrated high test-retest reliability, with intraclass correlation coefficients of 0.87 for N1 latency and 0.96 for N1 amplitude. FastCAP thresholds were significantly correlated with behavioral thresholds in 7/20 participants and with comfortable loudness levels in 11/20 participants. The time required to collect FastCAP data was significantly reduced compared to ECAP measurements.
Interpretation:
The data suggest that FastCAP can serve as a reliable and efficient alternative to traditional ECAP measurements in CI users. Its faster data collection process without compromising accuracy makes it a promising tool for clinical settings, particularly for optimizing CI processor settings such as stimulation threshold levels.
Implications:
FastCAP has the potential to streamline clinical workflows for cochlear implant users, allowing quicker and more efficient processor adjustments while maintaining measurement accuracy. This could lead to better personalized auditory outcomes for CI users.
DOI: 10.17632/krg7wnxmzk
title: Fracture Segmentation Application on Coal CT images

description: This application can be utilized for segmenting fractures in coal CT images. You have the option to employ three distinct deep learning architectures for segmenting the coal CT images.
DOI: 10.6084/m9.figshare.13590083.v2
title: UDAMP

description: UDAMP is a comprehensive, human database of antimicrobial and immunomodulatory peptides containing all so far known human antimicrobial and immunomodulatory peptides.<br>
DOI: 10.6084/m9.figshare.21739703.v1
title: Supplementary Material for: Artifacts Can Be Deceiving: The Actual Location of Deep Brain Stimulation Electrodes Differs from the Artifact Seen on Magnetic Resonance Images

description: <b><i>Introduction:</i></b> Deep brain stimulation (DBS) is a common treatment for a variety of neurological and psychiatric disorders. Recent studies have highlighted the role of neuroimaging in localizing the position of electrode contacts relative to target brain areas in order to optimize DBS programming. Among different imaging methods, postoperative magnetic resonance imaging (MRI) has been widely used for DBS electrode localization; however, the geometrical distortion induced by the lead limits its accuracy. In this work, we investigated to what degree the difference between the actual location of the lead’s tip and the location of the tip estimated from the MRI artifact varies depending on the MRI sequence parameters such as acquisition plane and phase encoding direction, as well as the lead’s extracranial configuration. Accordingly, an imaging technique to increase the accuracy of lead localization was devised and discussed. <b><i>Methods:</i></b> We designed and constructed an anthropomorphic phantom with an implanted DBS system following 18 clinically relevant configurations. The phantom was scanned at a Siemens 1.5 Tesla Aera scanner using a T<sub>1</sub>MPRAGE sequence optimized for clinical use and a T<sub>1</sub>TSE sequence optimized for research purposes. We varied slice acquisition plane and phase encoding direction and calculated the distance between the caudal tip of the DBS lead MRI artifact and the actual tip of the lead, as estimated from MRI reference markers. <b><i>Results:</i></b> Imaging parameters and lead configuration substantially altered the difference in the depth of the lead within its MRI artifact on the scale of several millimeters − with a difference as large as 4.99 mm. The actual tip of the DBS lead was found to be consistently more rostral than the tip estimated from the MR image artifact. The smallest difference between the tip of the DBS lead and the tip of the MRI artifact using the clinically relevant sequence (i.e., T<sub>1</sub>MPRAGE) was found with the sagittal acquisition plane and anterior-posterior phase encoding direction. <b><i>Discussion/Conclusion:</i></b> The actual tip of an implanted DBS lead is located up to several millimeters rostral to the tip of the lead’s artifact on postoperative MR images. This distance depends on the MRI sequence parameters and the DBS system’s extracranial trajectory. MRI parameters may be altered to improve this localization.
DOI: 10.6084/m9.figshare.24793830.v1
title: Supplementary Tables

description: Supplementary tables
DOI: 10.17632/8h488pj89w
title: Data for: Automatic calculation of Mercuri grades from CT and MR muscle images

description: This file contains pixel image values of MR and CT images. On this file, we determined the estimating function using Microsoft Excel Solver.
DOI: 10.17632/cc3v4szzs6
title: Detection of Squalene Epoxidase Mutations in U.S. Onychomycosis Patients: Implications for Management - Supporting Information and Datasets

description: Datasets and Supporting Information for Article Accepted in Journal of Investigative Dermatology (JID-2023-0092.R1) - Detection of Squalene Epoxidase Mutations in U.S. Onychomycosis Patients: Implications for Management
DOI: 10.17632/sk6vv53cz4
title: Skin, Human Body Heat Map

description: JMP Files and Instructions to present data in the form of a "heat map" of a human body.
DOI: 10.17632/wtjzhf43xw
title: Implications of weight gain on dolutegravir based anti-retroviral therapy on blood pressure in Ugandan persons with HIV

description: Dataset on the changes in mean arterial pressure over 48 weeks in Ugandan persons with HIV on TDF/ 3TC/DTG
DOI: 10.6084/m9.figshare.20781799.v2
title: Verified Smart Contracts

description: <b>Artifact Description</b>Verified Smart Contracts is a dataset of real Ethereum smart contracts, containing both Solidity and Vyper source code. It consists of every deployed Ethereum smart contract as of 1st of April 2022, whose been verified on Etherscan and has a least one transaction. A total of 186,397 unique smart contracts are provided, filtered down from 2,217,692 smart contracts. The dataset contains 53,843,305 lines of code.The dataset contains three folders: "train", "validation" and "test". Each folder contains several enumerated files in the Apache Parquet data file format.<b>Environment Setup</b>The Pandas library for Python is required to load the dataset. Both Unix-based and Windows systems are supported.<b>Getting Started</b>The following code snippet demonstrates how to load the dataset into a Pandas DataFrame.<br><br>&gt;&gt;&gt; import pandas as pd<br>&gt;&gt;&gt; df = pd.read_parquet("path/to/data")<b>License</b>All Smart Contracts in the dataset are publicly available, obtained by using Etherscan APIs, and subject to their own original licenses.
DOI: 10.6084/m9.figshare.21890511.v5
title: Zhang-Rice singlets state formed by two-step oxidation for triggering water oxidation under operando conditions

description: Zhang-Rice singlets state formed by two-step oxidation for triggering water oxidation under <em>operando</em> conditions
DOI: 10.60893/figshare.apl.28000571.v1
title: Supplementary Material

description: Additional information on the magnetic field calculations and video clips of the formation process of levitated droplets captured along the x-, y-, and z-axes.
DOI: 10.15468/dl.zqqayn
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Argentina silus (Ascanius, 1775)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((7.9186 1.8496,7.918 1.8981,7.6701 2.1458,7.2444 2.1771,6.9224 1.8988,6.9096 1.8496,7.9186 1.8496))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013243-250525065834625/datasets/export for details.
DOI: 10.17632/fcy7zh96f4
title: Supplemental Methods: Patients With Medicaid Are More Likely to Utilize Primary Care for Common Skin Conditions

description: Supplementary methods to accompany the manuscript titled "Patients With Medicaid Are More Likely to Utilize Primary Care for Common Skin Conditions: A Cross-Sectional Study of United States Practice Data. " (Journal of the American Academy of Dermatology)
DOI: 10.6084/m9.figshare.1431538.v1
title: PLOS ONE Dataset

description: An excel spreadsheet containing data from recently published meta-analysis on the prophylactic treatment of headaches.
DOI: 10.6084/m9.figshare.27087505.v1
title: Grainsize data MD07-3117_IX

description: Grainsize datasheets acquired with the Malvern Mastersizer 3000 of Ghent University. End-member modelling by using the MATLAB-based toolbox AnalySize (Paterson and Heslop, 2015).
DOI: 10.15131/shef.data.8863625.v1
title: Corporate governance codified data.csv

description: This is a dataset of corporate governance codified data for 21 countries for 20 years<br>
DOI: 10.6084/m9.figshare.16547649.v1
title: scvelo-pancreas.h5ad

description: H5AD file created by following the scVelo basics and dynamical modelling tutorials
DOI: 10.6084/m9.figshare.25062287.v1
title: Metabolomics data for "Palmitic Acid in Type 2 Diabetes Mellitus Promotes Atherosclerotic Plaque Vulnerability via Macrophage Dll4 Signaling"

description: This research investigates the relationship between elevated levels of palmitic acid, a saturated fatty acid, and the increased vulnerability of atherosclerotic plaques in individuals with Type 2 Diabetes Mellitus (T2DM). The study centers on understanding how palmitic acid influences plaque stability, a critical factor in cardiovascular risks associated with T2DM.
DOI: 10.6084/m9.figshare.28378157.v1
title: ESM2_AMP

description: The feature files for all proteins in the dataset required for the protein-protein interaction prediction framework (i.e., ESM2 embeddings) and the weight files for the three main models.Pan_dataset_protein_features.npy contains the ESM2 embedding features of all proteins in the Pan_dataset; Bernett_dataset_protein_features.zip is a collection of ESM2 embedding features for all proteins in the Bernett dataset;<br>Multi_species_dataset_protein_features.zip is a collection of ESM2 embedding features for all proteins in the Multi_species_dataset;<br>real_test dataset.zip contains the features of all samples in the real_test dataset;<br>ESM2_AMPS.pth is the weight file for the ESM2_AMPS model;<br>ESM2_AMP_CSE.pth is the weight file for the ESM2_AMP_CSE model;<br>ESM2_DPM.pth is the weight file for the ESM2_DPM model.
DOI: 10.6084/m9.figshare.15147570.v1
title: QitaTech_raw_data

description: <b>A fresh solution for MDR bacterial genome intensive investigation: QitanTech nanopore long-read sequencing</b>
DOI: 10.6084/m9.figshare.24192507.v1
title: Post-processed MAT-files with 3D full-body kinematics, kinetics and EMG of 50 adults with stroke

description: A post-processed MATLAB structure (MAT-files) that contains stride-normalized data, anthropometric data, and gait events, for able-bodied participants. This data includes kinematic data (i.e., 3D full-body marker data, 3D full-body joint angles, and 3D center of mass), and EMG data (i.e., both not and normalized traces to the maximum value across all strides of a subject of the ERS, RF, VL, BF, ST, TA and GAS for both legs) for all available strides, as well as kinetic data normalized to body mass (i.e., ground reaction forces, joint moments and joint powers) for those strides with clean strikes on the force plate. This data is similar to the xlsx-files.
DOI: 10.6084/m9.figshare.25003217.v1
title: OMEinfo ENA Data Analysis

description: This dataset contains the OMEinfo metadata annotation files for OMEinfo ENA v1 and OMEinfo ENA Env v1 datasets.These datasets were generated using OMEinfo against all compatible ENA sample metadata records, and can be used for retrospective analyses of samples.Full details of the generation of these data files can be found in the OMEinfo GitHub repo here.
DOI: 10.6084/m9.figshare.27636072.v1
title: Divergent drivers of temporal stability for gravel and sandy desert ecosystems around mobile deserts: Implications for ecosystem conservation and desertification management

description: This dataset is the supporting data for the article "Divergent drivers of temporal stability for gravel and sandy desert ecosystems around mobile deserts: Implications for ecosystem conservation and desertification management".Research data.xlsx is all the data supporting this study , provided in different sheets by type. Sheet1 has a description of the dataset.
DOI: 10.6084/m9.figshare.28585289.v1
title: Collagen fibril formation at the plasma membrane occurs independently from collagen secretion. Extended Data and underlying data

description: Extended Data and underlying figures for:Collagen fibril formation at the plasma membrane occurs independently from collagen secretion.
DOI: 10.17632/dfh8s3m8yk
title: When The Markets get CO.V.I.D.

description: All codes and (simulated) data required to replicate this manuscript. Our abstract follows:

We quantify the exposure of major financial markets to news shocks about global contagion risk while accounting for local epidemic conditions. For a wide cross section of countries, we construct a novel dataset comprising (i) announcements related to COVID19 and (ii) high-frequency data on epidemic news diffused through Twitter (Hassan et al. 2019's methodology). We provide novel empirical evidence about financial dynamics both around epidemic announcements and at daily/intra-daily frequencies. Analysis of contagion data and social media activity about COVID19 suggest that the market price of contagion risk is significant.
DOI: 10.17632/jrjc94n4ck
title: Data for: Proximity eect tuned magnetic properties in composites of carbon nanotubes and nanoparticles of CoFe2O4

description: All data used in generating all the figures and on which results and discussion are based. The data include Magnetic data, MFM, Raman, SEM, EDX, AFM and XRD
DOI: 10.6084/m9.figshare.1208000.v5
title: What Is Good Scientific Data Stewardship?

description: Defining good scientific data stewardship for digital environmental data and products
DOI: 10.17632/k8nxmjzzgs
title: Mammal Species Inventory - Kruger National Park: Report 1 April 2017 to September 2019

description: SnapshotSafari is a transnational program aiming at providing a greater knowledge about mammal populations accross southern Africa. Thanks to standardized camera traps (CTs) grid, deployed in various locations reflecting a diversity of conservation states (from protected areas to highly transformed areas), SnapshotSafari aims at describing mammal population abundances, diversities and spatial occurrences. The data provided will benefit Research, in fields as broad as Genetics, Ecology or conservation Biology, as well by providing to conservation planning a comprehensive synthesis of which species can be found in their location, with which abundance...etc. The project is coordinated in South Africa by Nelson by Mandela University’s Wildlife Ecology Lab. The images collected by the CTs (as much as thousands per site) are sent to the United States (University of Minnesota) to be processed via a participative science plateform (Zooniverse) and machine learning (a popular IT field that allows automatized recognition of elements in an image, for instance antelopes in a landscape photo).
DOI: 10.17632/wgb4zkj4mc
title: Data for: What Causes a Business and Management Education Article to Be Cited: Article, Author, or Journal?

description: A database of nearly 600 articles published between 2006 and 2010 used to study predictors of BME article citation.
DOI: 10.6084/m9.figshare.12581213.v1
title: Supplementary Material for: Small Symptomatic Unilateral Choroidal Osteoma Diagnosed with Enhanced-Depth Imaging Optical Coherence Tomography and Thin-Slice Computed Tomography: 2 Clinical Cases

description: <b><i>Background:</i></b> Choroidal osteoma is a rare, benign, ossifying intraocular tumor of unknown etiology. While patients with choroidal osteoma usually show distinct large yellowish subretinal lesions, some could have small lesions, making the differential diagnosis difficult. We experienced 2 cases of small symptomatic unilateral osteoma approximately 1.0-mm disc diameter in size. <b><i>Methods:</i></b> Retrospective medical charts of 2 patients with small symptomatic unilateral osteoma were reviewed. Fundus examination, spectral domain enhanced-depth optical coherence tomography (EDI-OCT), fluorescein angiography, indocyanine green angiography, B-scan ultrasonography (USG), and X-ray computed tomography (CT) were performed. <b><i>Results:</i></b> Case 1: a case of a 41-year-old male. Fundus examination revealed a yellowish-white lesion of 1.0-mm disc diameter in size. EDI-OCT of the lesion shows sub-RPE elevation. B-scan USG was not definite for diagnosis. Thin-slice (2 mm) CT scan revealed a choroidal osteoma. Case 2: a case of a 70-year-old male. Fundus examination revealed a yellowish-white lesion of 0.9-mm disc diameter. EDI-OCT showed sub-RPE elevation without serous retinal detachment and horizontal lamellar-like structure within the lesion. B-scan USG suggested acoustic shadowing, but it was unclear. The thin-slice CT scan confirmed bony tissue at the lesion. <b><i>Conclusions:</i></b> We report 2 cases of small choroidal osteoma. Diagnosis of small yellowish subretinal lesions is sometimes difficult. Characteristic findings with EDI-OCT may sometimes suggest this disease, and thin-slice CT could help to diagnose choroidal osteoma.
DOI: 10.6084/m9.figshare.19372868.v1
title: Integrated_dataset.Robj

description: The integrated dataset (Figure 1) from Marsh et al., 2022. This is a R object containing all cells, clustering, and metadata for all cells from the integration of matching samples from the villous and smooth chorions from four human placenta samples. More detail can be found in the manuscript.
DOI: 10.6084/m9.figshare.25193855.v1
title: GPOC ROBINS-I Intermediate.xlsx

description: This is the Bias ROBINS-I Intermediate Excel file for the article:Lidströmer et al, Systematic review and meta-analysis for a Global Patient co-Owned Cloud (GPOC), Nature Communications, DOI: 10.1038/s41467-024-46503-5.
DOI: 10.6084/m9.figshare.28787675.v1
title: <b>Sleep disturbances as risk factors for neurodegeneration later </b><b>in life- full summary statistics (Supplementary).</b>

description: The relationship between sleep disorders and neurodegeneration is complex. Using &gt;1 million electronic health records from Wales, UK, and Finland, we mined biobank data to identify relationships between sleep disorders and neurodegenerative diseases (NDDs). Additionally, we investigated how sleep attributed risk may compensate for lack of NDD genetic risk.We found that sleep disorders were associated with risk of Alzheimer’s disease (AD), amyotrophic lateral sclerosis, dementia, Parkinson’s disease (PD), and vascular dementia in three national biobanks (hazard ratios from 1.3 (PD) to 5.11 (dementia)). Sleep disorders imparted risk up to 15 years before NDD onset. Sleep factors were independent of AD and PD genetic risk, potentially compensating for low genetic risk in disease etiology.Poor sleep hygiene and sleep apnea have several available treatments that could potentially reduce the risk of neurodegeneration. Sleep related risk factors are significantly and independently enriched in NDD patients with low genetic risk.Full summary statistics for these analyses are available.
DOI: 10.6084/m9.figshare.28815164.v2
title: Interlayer Engineering of Lattice Dynamics and Elastic Constants of 2D Layered Nanomaterials under Pressure

description: Interlayer coupling in two-dimensional (2D) layered nanomaterials can provide us strategies to evoke their superior properties, such as the layer-dependent phonon vibration, the formation of moiré excitons and related nontrivial topology. However, to accurately quantify interlayer potential and further measure elastic properties of 2D materials remain challenging, despite significant efforts. Herein, the layer-dependent lattice dynamics and elastic constants of 2D nanomaterials have been systematically investigated via pressure-engineering strategy based on ultralow frequency Raman spectroscopy. The shear and layer-breathing Raman shifts of 2H-MoS2 with various thicknesses are analyzed by the monoatomic chain model (MCM). Intriguingly, it is found that the layer-dependent dω/dP of shear (SN,1) and breathing (LBN,N-1) modes display the opposite trends, quantitatively consistent with MCM analysis, our molecular dynamics simulations and density functional theory calculations. The diatomic chain model (DCM) is combined with Raman data to analyze the intralayer and interlayer shear force constants and their pressure coefficients, revealing a strong dependence on the number of layers. These results can be generalized to other van der Waals systems, and may shed light on the potential applications of 2D materials in nanomechanics and nanoelectronics.
DOI: 10.15468/dl.8hwawn
title: Occurrence Download

description: A dataset containing 7168 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is one of (Kalanchoe pinnata (Lam.) Pers.)",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "OccurrenceStatus is Present"
 ]
}

 The dataset includes 7168 records from 297 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0013244-250525065834625/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/zwr6x3f4vy
title: Supplementary materials for IJPara 2018

description: Supplementary materials for International Journal for Parasitology
DOI: 10.6084/m9.figshare.14842692.v1
title: sud2020-cud

description: GWAS summary statistics from the Psychiatric Genomics Consortium (PGC)