cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.12171627.v1
title: The value of signal intensity on T1-weighted chemical shift magnetic resonance imaging combined with proton magnetic resonance spectroscopy for the diagnosis of adrenal adenomas

description: Abstract Objective: To investigate the advantages of using modified signal intensity measurements on chemical shift imaging alone or in conjunction with proton magnetic resonance spectroscopy in the differential diagnosis of adrenal adenomas. Materials and Methods: This was a prospective study involving 97 patients with adrenal nodules or masses. The signal intensity index (SII) was calculated as [(signal intensity on the in-phase image − signal intensity on the out-of-phase image) ∕ (signal intensity on the in-phase image)] × 100%. We determined the averages of the minimum, mean, and maximum signal intensity values measured on three consecutive images. When that was not possible (for smaller lesions), we used one or two images. We employed a region of interest that covered one half to two thirds of the mass. All indices were compared with metabolite ratios derived from spectroscopy: lactate/creatine; glutamine-glutamate/creatine; choline/creatine; choline/lipid; 4.0-4.3 ppm/Cr; and lipid/creatine. Results: Of the 97 patients evaluated, 69 were diagnosed with adenomas and 28 were diagnosed with nonadenomas. All SII measurements and spectroscopy-derived metabolite ratios were significant to the differentiation between adenomas and nonadenomas, except for the lipid/creatine and choline/lipid ratios. In 37.8% of the cases, it was not possible to perform spectroscopy. When it was possible, the lactate/creatine ratio was found to have higher accuracy than did the SII. Conclusion: Determining the SII and metabolite ratios increased the accuracy of the differential diagnosis of adrenal adenomas.
DOI: 10.6084/m9.figshare.1235609.v2
title: test.data

description: Supplmental data
DOI: 10.6084/m9.figshare.24465673.v1
title: Chicken_heart_scRNAseq_Seurat_Robj

description: Rob file containing processed and annotated Seurat object for scRNA-seq analysis on developing chicken hearts.
DOI: 10.6084/m9.figshare.7592999.v1
title: Inhibition of spatial illumination (Fig.S23)

description: The intensity of monochromatic light (l = 420 nm) with respect to the penetrated depth from the corresponding reactors.
DOI: 10.6084/m9.figshare.c.3598088_d2.v1
title: Additional file 4: of Genome-wide association analysis of milk yield traits in Nordic Red Cattle using imputed whole genome sequence variants

description: SNPs with Bonferroni corrected p-values higher than 0.05 (−log10(p) ≥ 8.50) for the protein yield. Columns on table: SNP = marker name, CHR, position on bp, alleles, Beta = variation effect, SE = standard error for effect, P = p-value, minuslog10 = (−log10(p)-values), Bonferroni corrected p-value. For the rest of the columns, see explanation from http://www.ensembl.org/common/Help/Glossary?db=core . (XLSX 30 kb)
DOI: 10.17632/fvgswvt5ws
title: Database of hyperspectral images of phosphorus in soil.

description: The database is made up of the images associated with the hyperspectral cube of each sample, and four tables: the first describes the properties of the soil used to obtain the mixtures, the second the composition of the fertilizer used, the third describes the soil-fertilizer ratio to make up the samples, and the fourth was the laboratory analysis of the total phosphorus content of the analyzed samples.
Hyperspectral images can be used to quantify the concentration of total phosphorus in soil samples. 152 soil samples were prepared, and a hyperspectral cube made up of 145 images in the VIS-NIR bands, between 420 and 1000 nm, was obtained from each of them. The images obtained were taken with the Bayspec OCIF Series hyperspectral camera, in push-broom function, using a platform that includes an illumination system that offers a continuous spectrum in the range of interest. The samples were prepared with a soil from the Santander de Quilichao region, Cauca, Colombia, and mixed with known concentrations of P2O5 fertilizer, so that a total mass of 50 g was obtained. Each sample was deposited in a round black plastic container, 6 cm in diameter and a depth of 1 cm. The soil samples were analyzed in the laboratory to establish the concentration of total phosphorus.
DOI: 10.6084/m9.figshare.11882799.v1
title: NEON Teaching Data: Full Hyperspectral Image from SJER

description: This is a full 1km by 1km tile of NEON AOP imaging spectrometer hyperspectral data from the San Joaquin Experimental Range in the central valley of California, USA. This dataset contains imagery at 1m spatial resolution, and ~5nm spectral resolution, with a total of 426 bands. These data were gathered in March, 2019. All NEON AOP missions are flown at or near peak 'greenness,' which comes fairly early in the year for this region. This dataset is uploaded here for teaching purposes, in particular with the tutorials found on https://www.neonscience.org/resources/data-tutorials. This particular tile makes for a good teaching example because this image captures a large school complex that is under construction, which means that it contains a wide variety of recognizable land cover types. Spectral signatures and indices derived from these surfaces make for good teaching examples because of their strong differences between land cover types. However, this file is rather large (~622Mb), so users may consider using our smaller (~50Mb) example subsets derived from this dataset. <br>Citation:National Ecological Observatory Network. 2020. Data Product DP3.30006.001, Spectrometer orthorectified surface directional reflectance - mosaic. Provisional data downloaded from http://data.neonscience.org on February 21, 2020. Battelle, Boulder, CO, USA NEON. 2020.<br>
DOI: 10.6084/m9.figshare.16610788.v2
title: Full-Scale Monitoring of the Wind Field, Surface Pressures and Structural Response of Gjemnessund Suspension Bridge

description: A custom-made monitoring system for long-term measurements of the wind field, surface pressures and structural response has been installed on the Gjemnessund Bridge in Norway. The monitoring system has been operating from 2018 to 2021. The scope was to investigate several topics within bridge aerodynamics in a full-scale environment, e.g. vortex shedding, gust response and span-wise correlations. Six cross-sectional strips with pressure taps were installed on the bridge. The pressure strips covered a span-wise distance equal to approximately six times the deck width. The upstream and the wake flow properties were measured in five locations along the same span. A case study showed that the ten-second gust correlations were stronger than the ten-minute correlations, both span-wise and section-wise. The gust impact on the bridge caused peak-to-peak mid-span amplitudes of 1 m vertically and 2 m laterally.
DOI: 10.6084/m9.figshare.17203898.v1
title: Integrated power and gas system.xlsx

description: The dataset is bound to a paper. It illustrates the system constructure and unit parameters in the case study of the paper, which is an IEEE 14 power system and 20-node Belgium gas network. The data can also be extended to model the typical integrated power and gas system.
DOI: 10.6084/m9.figshare.23527827.v1
title: Complex refractive index of GaAs.xlsx

description: A dataset of complex refractive index of GaAs at a matrix of temperatures (4 K &lt; ?? &lt; 295 K) and photon wavelength (700 nm &lt; ?? &lt;1000 nm).
DOI: 10.6084/m9.figshare.23715156.v1
title: Earthquakes recorded and located in the Mt. Etna area in the period 2002-2021.

description: Earthquakes recorded and located in the Mt. Etna area in the period 2002-2021. The table shows the main parameters of the analysed earthquakes. Specifically: No= identification number; Date, in format day-month-year; origin time (hour, minute and second); latitude north and longitude east; depth in km b.s.l.; magnitude.
DOI: 10.6084/m9.figshare.25295767.v1
title: Ethereum Block and Tx Data

description: Blocks and transactions data extracted from the history of Ethereum, from block 9437184 to 12965143, in SQL format.
DOI: 10.6084/m9.figshare.28828817.v1
title: Global Dataset on Benthic Macroinvertebrate Diversity Responses to Lake Salinization

description: This dataset compiles benthic macroinvertebrate community data and corresponding salinity measurements from 684 inland lakes sampled between 1972 and 2022, across multiple continents. It includes sampling metadata and SAD (species abundance distribution) data. Salinity (or conductivity) values measured at the time of biological sampling. The dataset was assembled from publicly available databases (e.g., the US EPA's National Lakes Assessment, PANGAEA), published literature, and co-author contributions. All data sources were selected based on consistent and comparable sampling methodologies, ensuring robustness and compatibility across studies.Each sample includes information on the sampling method, date, location, SAD data, and physicochemical conditions. A rarefaction-based standardization procedure was applied to ensure comparability across studies with different sampling effects.This dataset enables researchers to explore macroinvertebrate diversity responses to freshwater salinization, assess biodiversity loss under anthropogenic pressure, and support ecological modeling or conservation planning. It is particularly relevant for global change ecology, freshwater biodiversity research, and ecological threshold detection.The dataset is shared under the Creative Commons Attribution 4.0 International License (CC BY 4.0). Users are free to reuse the data with proper citation. Ethical and legal considerations were fully addressed: all data were either publicly available or shared with permission by contributing authors. Users should cite the original paper and this dataset if used in derivative work. Some data sources may have specific citation requirements; detailed references and access information for each data source are provided in Table S1. Users are encouraged to cite original sources where indicated. No sensitive or personally identifiable information is included.For more detailed information or any questions please contact email: laixiyi@mail.ynu.edu.cn or laixiyi2000@163.com
DOI: 10.17632/8rngxmn7dz
title: DDoS-SDN-Tree-MultiClass

description: The study "DDoS-SDN-Tree-MultiClass" embarks on an advanced exploration into the realm of Distributed Denial of Service (DDoS) attack detection and categorization within Software-Defined Networking (SDN) landscapes, honing in on Tree topology structures. This investigation elevates the analytical depth by not merely differentiating between normal and malicious traffic but by further discerning the intensity of DDoS attacks, classifying them as either "weak" or "strong." The classification schema is meticulously designed, with traffic categorized into three distinct labels: Normal (Label = 0), DDoS Attack Weak (Label = 1), and DDoS Attack Strong (Label = 2), thereby enabling a nuanced understanding of attack dynamics and their implications.

The research framework is adeptly aligned with the operational nuances of the Mininet emulator, tailored for SDN scenarios, and encompasses comprehensive descriptors of network behavior including packet rates, sizes, and types, alongside flow quantities and protocol specifics. This structured approach not only facilitates the application of supervised learning methodologies but also underscores the study's commitment to a detailed investigational analysis.
Significantly, this work shines a spotlight on 35 pivotal network vulnerabilities, establishing a robust foundation for the identification of DDoS threats, thus serving as an invaluable resource for cybersecurity professionals and researchers striving to reinforce SDN configurations against such vulnerabilities.
DOI: 10.6084/m9.figshare.14839551.v1
title: BLA Data and Analysis

description: This is the Data and associated output used for demonstrating SynapseJ finds bassoon-gephyrin synapses in BLA.
DOI: 10.6084/m9.figshare.17704502.v1
title: Rare Skin Disease Database

description: We collected data from public databases containing curated, inferred, literature-based information to create a database for connecting biomedical information. With curated disease genes, phenotypes, and phenotype genes as the direct molecular signatures of rare skin diseases, this work tries to link potential drugs to candidate rare skin disease targets with matched genes through disease-gene or disease-phenotype-gene relationships.<br><br>RSDB contains 891 rare skin diseases, 28,077 genes, 9,732 phenotypes and 16,671 compounds with 16,411 disease-gene relationships, 15,793 disease-phenotype relationships, 12,184 disease-reference relationships, 638,151 gene-phenotype relationships, 17,636 gene-reference relationships and 61,282 references.<br>Users can visit the RSDB homepage (https://rsdb.cmdm.tw) to explore the data for rare skin disease information.<br>
DOI: 10.6084/m9.figshare.21120022.v2
title: Data and Python code.rar

description: The datasets include "test data" and "training data", which were used to establish five machine learning models (LR, SVM, RF, CNN, and LGBM ) for mineral prospectivity mapping.
DOI: 10.6084/m9.figshare.21897363.v1
title: Demagnetisation experiments raw data

description: This folder presents the measurement files of the alternating field (AF) and thermal (TH) demagnetisation experiments. The applied treatment is indicated with the name of the files. The information shown depends on the software and the settings of the laboratory in which the measurements were performed. Laboratory Grubenhagen of the Leibniz Institute for Applied Geophysics (*.DII files): sequential number, sample name, measurement type, measurement step, K (without specific meaning), Sm/M parameter, Intensity (mA/m), Inclination, Declination, X intensity, Y intensity, Z intensity Ebarhard Karls Universität Tuebingen (*.DAT files) showing "Sample ID", "AF Z" or "Temp C", "Intensity", "Declination: Unrotated", "Inclination: Unrotated" (background and tray correction applied as included in the measurement software longcore of 2G Enterprise) Eidgenössische Technische Hochschule ETH Zurich (*.DAT files) showing "Sample ID", "Intensity (emu)", "X corr", "Y corr", "Z corr", "Declination: Unrotated", "Inclination: Unrotated", "X Intensity", "Y Intensity", "Z Intensity", "X drift", "Y drift", "Z drift", "TH" (= Temperature step in °C), "comment", " AF Z (=AF step in Oe)" in different orders. During thermal demagnetisation the positions of the samples in the oven was not changed. The magnetic susceptibility was monitored after each thermal heating step. The values are provided in the files "MS(T)_Demag_Tuebingen.xlsx" and "MS(T)_Demag_Zurich.xlsx".
DOI: 10.6084/m9.figshare.26542972.v1
title: Fos data for "Heightened lateral habenula activity during stress produces brainwide and behavioral substrates of susceptibility"

description: Fos data for "Heightened lateral habenula activity during stress produces brainwide and behavioral substrates of susceptibility"bioRxiv: https://doi.org/10.1101/2023.11.06.565681<br>Neuron: https://doi.org/10.1016/j.neuron.2024.09.009
DOI: 10.6084/m9.figshare.28093562.v1
title: Efficient Ribosomal RNA Depletion from <i>Drosophila</i> Total RNA for Next-Generation Sequencing Applications

description: Contains the following materials:Table S1: List of custom probes used for RNase H mediated rRNA-depletionTable S2: NGS data mapping detailsTable S3: Differential Expression analysis resultsTable S4: List of software used in the study
DOI: 10.6084/m9.figshare.28869602.v1
title: Determining the Width of the Dynamic Emission Zone in Light-Emitting Electrochemical Cells

description: The light-emitting electrochemical cell (LEC) forms a p-n junction doping structure by bipolar electrochemical doping during its initial operation. The light emission originates from the p-n junction region through formation and radiative decay of excitons. The width of this emission zone (EZ) is important since it strongly affects the emission losses by exciton quenching, the outcoupling efficiency, and the drive voltage. The challenge is that it has proven very difficult to determine the width of the dynamic EZ in LECs. Here, we address this issue by presenting a method that fits simulated angle-resolved emission spectra to measured spectra, using the EZ width and position as the two free parameters. For improved accuracy, we employ a linear polarizer for the selective detection of s-polarized emission and a half-cylinder outcoupling structure for enhanced spectral output. We finally employ the method on a common conjugated-polymer LEC and establish that the EZ width decreases during the initial operation. We further find that the EZ width, during steady-state operation at a current density of 10 mA cm<sup>-2</sup>, is equal to ~20 % of the active-material thickness, and that the steady-state EZ width appears to decrease with increasing current density.
DOI: 10.25387/g3.16649746.v1
title: Supplemental Materials for Hanson, Dawson and Goldman 2021

description: Code and raw data are available via FigShare. File S1 contains R code used to analyze phenotypic data found in Files S2 and S3. File S4 contains R code used for association analysis and PCA. Association analysis uses phenotypic data found in File S5, and PCA uses categorical data in File S6. Both analyses use the filtered marker data set in File S7.<b> </b>Unfiltered genomic data in Variant Call Format are found in File S8. Files S7 and S8 include original EL10.2 scaffold names that were later renamed according to Butterfass nomenclature.
DOI: 10.6084/m9.figshare.15138300.v1
title: Salaries Professor in American Universities

description: These are salaries of professors of different ranks in American Universities. <br>
DOI: 10.6084/m9.figshare.28436108.v1
title: Drug-induced skin ulcer: real-world pharmacovigilance analysis based on the FDA adverse event reporting system

description: Skin ulcer (SU) may increase the risk of systemic infections and have evolved into an important public health problem. However, there is a lack of research specifically on drug-induced SU. We extracted data on adverse drug events (ADEs) associated with SU from the FDA Adverse Event Reporting System (FAERS) database. Disproportionality analysis was performed to calculate the risk signals for drugs that may induce SU. Logistic regression analysis was carried out to investigate the factors influencing the occurrence of SU. 21372 cases of SU were reported in FAERS database between 2005 and 2024. Based on the frequency of ADE reports, we compiled a list of the top 50 drugs associated with SU. Only 15 drugs had explicit mentions of SU in their instructions, while 32 drugs were recognized as positive signals for SU by reporting odds ratio model. Logistic regression revealed the duration of medication was the risk factor for tocilizumab, alendronate sodium, and erlotinib usage. Females were also identified as risk factor for erlotinib. Our study identified 32 drugs potentially inducing SU, which provides valuable insights for targeted prevention and treatment strategies aimed at mitigating the risk of drug-induced SU.
DOI: 10.17632/82p2hk34t4
title: Motor Accident

description: The data set is made of 1000 claim data points recorded by a motor insurance department in Ghana between 2012 and 2014. We used inflation adjusted figures that  reflect 2021 consumer prices to account for the change in monetary value.
The claim amounts span from GHS 238.258  to GHS 5,782.554.
DOI: 10.4121/20208710.v1
title: REMARO summer school 2022 data

description: Sonar and MAVROS data recored in ros2 bag format using ROS. <br> Recordings were performed using a BlueROV2 robot equipped with Ping360 sonar. ROS setup: - ROS2 Foxy - Ping360 sonar ROS2 package: https://github.com/CentraleNantesRobotics/ping360_sonar/tree/3ade26c7a6f22cc4f50488ae578282b36e150a04 - MAVROS: https://github.com/mavlink/mavros/commit/227b3accf7d16c7f0c468da25125e164de3ff292 <br> Data was recorded at TU Delft 3me pond 01-07-2022. Data was colleted during the REMARO summer school 2022. This data will be used in the activities of REMARO (https://remaro.eu/) project.
DOI: 10.6084/m9.figshare.12514367.v1
title: Glacier and lake changes in the inner TP

description: Three shapefiles are provided in the database: lake change: containing the extent of individual lakes &gt; 1 km*km, and estimates of the lake volume changes between the 2000s and 2014s; basin-wide statistics: the basin boundaries of major terminal lakes in the inner TP and basin-wide statistics of lake/glacier mass changes; glacier polygons: the inventory of glaciers in the inner TP, modified according to the RGI v6.0 See the text files for a detailed description of the attributes in each shapefile. If you use the database in your work, please cite: Ke et al. (2022). Constraining the contribution of glacier mass balance to the Tibetan lake growth in the early 21st century. <i>Remote Sensing of Environment</i>. https://doi.org/10.1016/j.rse.2021.112779 Additional data: The differences between the TanDEM-X DEM and the SRTM DEM are available at 10.6084/m9.figshare.16843123. Ask the corresponding author at kelinghong@hhu.edu.cn for access to the elevation change map if it is not available yet.<br>
DOI: 10.6084/m9.figshare.14605539.v1
title: Adversity and REF in BPD

description: Dataset and R code.<br><br>
DOI: 10.6084/m9.figshare.20005437.v1
title: Modeling of essential oil extraction with variable diffusion coefficient

description: Essential oils are volatile chemical compounds, characteristic for its fragrance and frequent antimicrobial and antioxidant activities. Essential oils are extracted from the glandular trichomes of herbs from various extraction methods. Industries give preference to extraction by steam distillation, for its traditional method, simple operation and low cost. The mathematical modeling of this process is an inevitable step for designing industrial plants of essential oil extraction with good operating condition. The model used in this article is based on the diffusion of the oil within the leaf. The discretization procedure of this model is presented through finite differences and its validation by comparing with the analytical solution. Data of profiles yield by extraction time were used to estimate the diffusion coefficient. In order to improve the model empirical equations were applied to describe de diffusion coefficient as a function of the oil concentration and the parameters of these equations were estimated. Using this modification, the model has no longer analytical solution, which justifies the adopted numerical procedure. The model was validated using data from literature.
DOI: 10.6084/m9.figshare.21820764.v3
title: Hydrochemical and isotopic data of the La Pletera salt marsh area

description: Hydrochemical and isotopic data from the La Pletera lagoons, the alluvial aquifer, the Ter River, the Ter Vell channel, and the Mediterranean sea, from 2014 to 2018.
DOI: 10.6084/m9.figshare.12185145.v1
title: cap3_fuca.csv

description: Metadata for heterospecific pollen effects using <i>Fuchsia campos-portoi</i><i> </i>as recipient
DOI: 10.6084/m9.figshare.14273381.v1
title: Holocene interannual variability and seasonality in the Pacific

description: We present here the data and scripts in complement to the article Carré, M., Braconnot, P., Elliot, M., D’Agostino, R., Schurer, A., Shi, X., Marti, O., Lohmann, G., Jungclaus, J., Cheddadi, R., Abdelkader di Carlo, I., Cardich, J., Ochoa, D., Salas Gismondi, R., Pérez, A., Romero, P.E., Turcq, B., Corrège, T., Harrison, S.P., High-resolution marine data and transient simulations support orbital forcing of ENSO amplitude since the mid-Holocene. Quaternary Science Reviews.
DOI: 10.6084/m9.figshare.21829038.v1
title: Bentley et al. 2006 CPS sequences

description: FASTA files for 91 pneumococcal capsular polysaccharide synthetic (CPS) loci from Bentley et al. 2006 (https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.0020031)