cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.8275340.v1
title: Supplementary Material for: Biomarker Predictors of Adverse Acute Kidney Injury Outcomes in Critically Ill Patients: The Dublin Acute Biomarker Group Evaluation Study

description: <b><i>Background:</i></b> The Dublin Acute Biomarker Group Evaluation (DAMAGE) Study is a prospective 2-center observational study investigating the utility of urinary biomarker combinations for the diagnostic and prognostic assessment of acute kidney injury (AKI) in a heterogeneous adult intensive care unit (ICU) population. The objective of this study is to evaluate whether serial urinary biomarker measurements, in combination with a simple clinical model, could improve biomarker performance in the diagnostic prediction of severe AKI and clinical outcomes such as death and need for renal replacement therapy (RRT). <b><i>Methods:</i></b> Urine was collected daily from patients admitted to the ICU, for a total of 7 post-admission days. Urine biomarker concentrations (neutrophil gelatinase-associated lipocalin [NGAL], α-glutathione S-transferase [GST], π-GST, kidney injury molecule-1 [KIM-1], liver-type fatty acid-binding protein [L-FABP], Cystatin C, creatinine, and albumin) were measured. Urine biomarkers were combined with a clinical prediction of AKI model, to determine ability to predict AKI (any stage, within 2 days or 7 days of ICU admission), or a ­30-day composite clinical outcome (RRT – or death). <b><i>Results:</i></b> A total of 257 (38%) patients developed AKI within 7 days of ICU admission. Of those who developed AKI, 106 (41%) patients met stage 3 AKI within 7 days of ICU admission and 208 patients of the entire study cohort (31%) met the composite clinical endpoint of in-hospital mortality or RRT within 30 days of ICU admission. The addition of urinary NGAL/albumin to the clinical model modestly improved the prediction of AKI, in particular severe stage 3 AKI (area under the curve [AUC] of 0.9 from 0.87, <i>p</i> = 0.369) and the prediction of 30-day RRT or death (AUC 0.83 from 0.79, <i>p</i> = 0.139). <b><i>Conclusion:</i></b> A clinical model incorporating severity of illness, patient demographics, and chronic illness with currently available clinical biomarkers of renal function was strongly predictive of development of AKI and associated clinical outcomes in a heterogeneous adult ICU population. The addition of urinary NGAL/albumin to this simple clinical model improved the prediction of severe AKI, need for RRT and death, but not at a statistically or clinically significant level, when compared to the clinical model alone.
DOI: 10.17632/c5c63wptsf
title: Tumor-Infiltrating Lymphocyte Scoring Improves Progression Risk Prediction in Stage II Melanoma: A Retrospective Cohort Study

description: Supplementary data for the article "Tumor-Infiltrating Lymphocyte Scoring Improves Progression Risk Prediction in Stage II Melanoma: A Retrospective Cohort Study" by George Adigbli et al. 
Supplementary figure 1
Supplementary figure 2
Supplementary table 1 
Supplementary table 2
DOI: 10.17632/rmsjdwht28
title: Financial Inclusion and Climate Change

description: Data provided here is necessary to reproduce results presented in "Financial Inclusion Helps Rural Households Address Climate Risk" by Ashwini Chhatre, Prachi Deuskar, Javed Mohib, and Deepanshi Bhardwaj. Our results show that households facing high climate risks hold a higher proportion of assets in liquid form. Access to formal financial services, however, reduces the need to keep liquid assets to be able to respond to high climate variability. Financial inclusion cuts the need for cash-like assets to face climate risk, freeing funds for adaptation to climate change. 'Readme.txt' provides information on the different elements of the data used in the analysis.
DOI: 10.6084/m9.figshare.14215850.v3
title: EmoMatchSpanishDB

description: These carpete contains the datasets features used and described in the research paper entitled García-Cuesta, E., Barba, A., Gachet, D. "EmoMatchSpanishDB: Study of Speech Emotion Recognition Machine Learning Models in a New Spanish Elicited Database" , Multimedia Tools and Applications, Ed. Springer, 2023 <br> In this paper we address the task of real time emotion recognition for elicited emotions. For this purpose we have created a publicly accessible dataset composed by ﬁfty subjects expressing the emotions of anger, disgust, fear, happiness, sadness, and surprise in Spanish language. In addition, a neutral tone of each subject has been added. This article describes how this database have been created including the recording and the performed crowdsourcing perception test in order to statistically validate the emotion of each sample and remove noisy data samples. Moreover we present a baseline comparative study between different machine learning techniques in terms of accuracy, speciﬁcity, precision, and recall. Prosodic and spectral features are extracted and used for this classiﬁcation purpose. We expect that this database will be useful to get new insights within this area of study. <br> The first dataset is "EmoSpanishDB" that contains a set of 13 and 140 spectral and prosodic features for a total of 3550 audios of 50 individuals reproducing the 12 sentences for the six different emotions, ’anger, disgust, fear, happiness, sadness, surprise’ (Ekman’s basic emotions]) plus neutral. <br> The second dataset is "EmoMatchSpanishDB" and contains a set of 13 and 140 spectral and prosodic features for a total of 2050 audios of 50 individuals reproducing the 12 sentences for the six different emotions, ’anger, disgust, fear, happiness, sadness, surprise’ (Ekman’s basic emotions]) plus neutral. These 2050 audios' features are a subset of EmoSpanishDB resulting of the matched audios after application of a crowdsourcing process to validate that the elicited emotion corresponds with the expressed.<br> The third dataset is "EmoMatchSpanishDB-Compare-features.zip" that contains the COMPARE features for the experiments of dependent-speaker and LOSO. These datasets have been used in the paper "EmoMatchSpanishDB: Study of Machine Learning Models in a New Spanish Elicited Dataset" and their creation, its contents, and also a set of baseline machine learning experiments and results are fully described within it. <br> The features are available under MIT license and if you want to get access to the original raw audio files for creating your own features and research purposes you can get them under CC-BY-NC completing and signing the agreement file (EMOMATCHAgreement.docx) and sending it via email to esteban.garcia@upm.es
DOI: 10.17632/6yfvs3dswb
title: Permanent and temporary monetary policy shocks and the dynamics of exchange rates

description: This paper asks whether different types of nominal disturbances affect exchange rates differently and whether such distinction helps understanding the short-run and long-run relations between nominal rates and exchange rates, in a context where nominal disturbances are typically seen as important drivers of exchange rate movements. Our empirical exercise relies on monthly data for exchange rates, inflation, nominal interest rates and output from 1971 to 2019, considering the U.S. and another advanced economy among the following: Great Britain, Germany, France, Australia, Switzerland, Japan and the euro area.
In sum, we find that a shock leading to a temporary increase in U.S. nominal interest rates leads to a temporary appreciation of the USD against the other currencies. In turn, a monetary policy shock leading to a permanent rise in nominal interest rates – e.g., one associated with a normalisation of monetary policy after a long period at the zero lower bound – results in a depreciation of the USD, in the short as well as over the long run that may contribute to higher (not lower) inflation also in the short run.
The tables and figures of this paper present the results of the estimation of the VECM and the impulse response functions as well as the FEVD.
DOI: 10.17632/mnh5hhg7r2
title: A coal maceral dataset with corresponding labels

description: This is a coal maceral dataset including maceral group images (vitrinite, inertinite, liptinite) and corresponding annotated images. The images are collected from the USGS and fifteen mining areas of China and the labels are annotated through the Neoimaging app. There are 697 coal maceral images and 319 labeled images in the dataset. These images have been improved the quality and resolution using MejorarImagen software. Among the labeled images, red is used for vitrinite, yellow for inertinite, and blue for liptinite. The petrographic analyses for coal samples from coal maceral dataset are included in vitrinite reflectance.xlsx.
DOI: 10.6084/m9.figshare.19666074.v2
title: Data and animations for manuscript by Wolf et al. (2022) entitled:"Evolution of rift architecture and fault linkage during continental rifting: Investigating the effects of tectonics and surface processes using lithosphere-scale 3D coupled numerical models"

description: These animations provide the data for the analyses and figures of the main manuscript. Data is available for the five main models (Model M1 - M5) and the seven supplementary models (Models SM1 - SM7). In each animation the evolution of the model output over the model duration (i.e., 25 Myr) is displayed. In the four panels of each animation, we show: strain rate on top of hillshade (top, left panel) FastScape topography and sediment thickness (top, right panel) Accumulated plastic strain (Bottom, left panel) Material colors from thermo-mechanical model (Bottom, right panel) We refer to Table 3 of the main manuscript for model parameters. The original model output is available upon request.
DOI: 10.6084/m9.figshare.14386892.v1
title: Dataset for Human Activity Recognition using Wi-Fi Channel State Information (CSI) data

description: The dataset is organised as follows:- There are 3 folders (room_1/2/3), which indicate data collected from 3 different rooms- In each of that rooms there is a different number of folders indicating different data capturing session- In each of that folder, there is data.csv files, which stores CSI data for each packet. Also, there are label.csv and label_boxes.csv which contain labels for activities and person bounding box respectively.<br>Dataset characteristic:Activities - walking, sitting, standing, lying, getting up,<br>getting down, no activity# of people involved - 1# of rooms used - 3WiFi router - TP-Link TL-WDR4300Channel - 60Bandwidth - 40MHzFrequency - 5 GHzAntennas - 2Rx x 2Tx# of subcarriers - 114<br>Check out http://github.com/retsediv/WIFI_CSI_based_HAR in case if you need the source code of data collection process, processing, analysis or model development<br><br>Disclaimer: All data were collected by myself and the only person performing activities was me. My purpose was to make the data easier available to the community for further research in time on COVID-19.
DOI: 10.6084/m9.figshare.24985722.v1
title: Human iPSC-derived phrenic-like motor neurons to model respiratory motor neuron degeneration in ALS

description: This repository regroups all the numerical source data behind each graph supporting the study "Generation of human iPSC-derived phrenic-like motor neurons to model respiratory motor neuron degeneration in ALS" by L. Thiry, J. Sirois, T. M. Durcan, and S. Stifani in Communications Biology.
DOI: 10.60893/figshare.jcp.28723967.v1
title: Supplementary information

description: Optimized geometries of protonated isomers, all single-point energies computed with various DFT and WFT computational approaches for both low- and high-spin electronic states, and DFT energy dispersion corrections.
DOI: 10.17632/mrj6p778f8
title: Dataset of Clinical Features of Tuberculosis Due of SIT745/EAI-MYS Genotype and  Non- SIT745/EAI-MYS In Malaysia

description: This Data related to an article submitted to data in brief journal
DOI: 10.17632/p9fbjj9cnb
title: Diseño del año meteorológico típico para la ciudad de Salta capital

description: Se desarrolló un año meteorológico típico (TMY, del inglés Typical Meteorological Year) con un nuevo método que combina los factores de ponderación de cuatro conjuntos de diferentes generadores de TMY. La definición del TMY es fundamental para la elaboración del archivo climático utilizado por los códigos de Simulación Energética de Edificios. Este trabajo está dedicado a la definición del TMY en la ciudad de Salta (1232 msnm), para ser aplicado en el diseño de viviendas de interés social y colectores solares calentadores de aire. Se partió de datos proporcionados por el Servicio Meteorológico Nacional (SMN) de Argentina sobre diversas variables meteorológicas registradas en intervalos horarios a lo largo de 11 años (2006-2016) en el Aeropuerto Martin M. de Güemes, mientras los datos de radiación fueron proporcionados por el Instituto de Investigaciones de Energía No Convencional (INENCO). En base a criterios estadísticos, para cada mes del año, uno de todos los meses de muestra se cataloga como Mes Meteorológico Típico TMM. La concatenación de los doce TMM define el TMY.
DOI: 10.6084/m9.figshare.16695940.v1
title: Article_Data

description: This is raw data for a research project related to employer branding and employee advocacy via social media(specifically LinkedIn)
DOI: 10.6084/m9.figshare.23581932.v1
title: learn2therm relational database

description: DescriptionA dataset of prokaryotes, proteins, organism pairs, and protein homologous pairs across temperature, up to 102 celsius. The data is presented in the form of a duckdb relational database, and contains 24 million proteins belonging to 9.5k prokaryotes. The proteins have been pairs by homology, producing 70 millions pairs of mesophilic-thermophilic proteins. Please see the README contained within the zipped file for instructions on usage and access of the relational data file. See the code repository, in this Figshare project and the main paper (TODO) for details on how this data was created<br>Contents`learn2therm.ddb` - duckdb file containing the data`environment.yaml` - minimal conda environment necessary to access the data`README.md` - instructions on accessing the data, including some example queries. Also contains the schema of the tables in the relational database.- `csvs/` , Colon-seperated dump files from the data tablesAll material in this project:- Database pipeline source code: 10.6084/m9.figshare.23589390- (here) Database: 10.6084/m9.figshare.23581932- Classifier source code: 10.6084/m9.figshare.23589210- Trained classifier: 10.6084/m9.figshare.23582325<br>ManuscriptTODO
DOI: 10.6084/m9.figshare.28675901.v1
title: bert_model.pt

description: coursework
DOI: 10.6084/m9.figshare.28315340.v1
title: Supplementary Figures for "“Visually evoked activity and variable modulation of auditory responses in the macaque inferior colliculus" (Schmehl et al. 2025, J. Neurophysiology)

description: Supplementary figures for "“Visually evoked activity and variable modulation of auditory responses in the macaque inferior colliculus" by Meredith N. Schmehl, Jesse L. Herche, and Jennifer M. Groh (2025) Journal of Neurophysiology. Provides additional information about the behavioral and local field potential results of this study.
DOI: 10.6084/m9.figshare.14814927.v1
title: Supplementary dataset 2 Importance values of all predictors.xlsx

description: Supplementary dataset 2 Importance values of all predictors.xlsx
DOI: 10.6084/m9.figshare.25347847.v1
title: Data and scripts for: Replicated whole-lake experiment reveals the ineffectiveness of stocking five example fish species in small lakes

description: Original data and scripts accompanying the study:Matern S., Radinger J., Klefoth T., Wolter C., and Arlinghaus R. (2024) <b>Replicated whole-lake experiment reveals the ineffectiveness of stocking five example fish species in small lakes</b>
DOI: 10.6084/m9.figshare.5480716.v1
title: Nature Graduate Survey 2017

description: Anonymised raw data and questionnaire from Springer Nature's 2017 Graduate survey
DOI: 10.17632/29g4826npf
title: Seurat objects for multiome analysis of neuroblastoma cell lines - 2/4

description: RDS files containing processed Seurat objects for multiome analysis of neuroblastoma cell lines. File names reflect the cell line.
DOI: 10.6084/m9.figshare.16934326.v3
title: Dataset of linear-array recordings from macaque V4 during a spatial attention task

description: This is the data (Monkey B ang G) of linear-array recordings from V4 during a spatial attention task (NA Steinmetz, T Moore Neuron 83 (2), 496-506, https://doi.org/10.1016/j.neuron.2014.06.014)
DOI: 10.6084/m9.figshare.25126097.v1
title: <b>L</b><b>iquid-like </b><b>clusters </b><b>in glass</b><b>y solids</b><b> as a unique state </b><b>of </b><b>matter</b><b>: dissipative</b><b> but non-</b><b>diffusive</b>

description: A Ni65Nb35 model with a cooling rate of 100 k/ns, the MD-DMS with atomic stress. The temperature is T = 300K, and the periodic of MD-DMS is tw = 100ps. In case you need more information please get in touch with me via email [ haibinyu at hust.edu.cn]
DOI: 10.17632/dx253y99xz
title: Modelling of Parameters Affecting NACA 63-412 Airfoil Aerodynamic Performance by Artificial Neural Network Method

description: Data Sets For ANNs used in Modelling of Parameters Affecting NACA 63-412 Airfoil Aerodynamic Performance by Artificial Neural Network Method
DOI: 10.6084/m9.figshare.20766088.v1
title: DataPerceptions.docx

description: Data is transcribed interviews.
DOI: 10.6084/m9.figshare.27604278.v5
title: <b>The consumption of marine subsidies is associated with genome-wide patterns of DNA methylation in Alaskan coastal wolves </b>(<b><i>Canis lupus ligoni</i></b><b>)</b>

description: Alexander Archipelago wolves are an ecologically and genetically distinct subspecies of gray wolf endemic to the coastal regions of Southeast Alaska. Post-logging forest succession has led to the depletion of Alexander Archipelago wolves’ primary prey - Sitka black-tailed deer. The use of marine prey by some wolves has been suggested to increase population resilience to declines in ungulate prey, yet little is known about the molecular mechanisms mediating this dietary shift. Environmentally sensitive epigenetic modifications, such as DNA methylation, provide an important avenue through which ecological effects can impact animal behavior. Yet, the relationship between DNA methylation and diet has not been explored in wild carnivores, leaving questions about the sensitivity of epigenetic modifications to dietary processes unanswered. To address this gap, we profiled genome-wide DNA methylation among 152 Alexander Archipelago wolves and coupled this data with information on wolves’ diet. K-means clustering grouped wolves into three dietary clusters corresponding to wolves’ use of marine versus terrestrial sourced prey. We detected 1,263 differentially methylated regions (DMRs) between wolves from these dietary clusters. Compared to terrestrial wolves, marine-oriented wolves were hypermethylated at 96% of DMRs, possibly reflecting a higher consumption of marine derived polyunsaturated fatty acids. DMRs associated with diet were distinct from those associated with neutral genetic variation, suggesting that patterns of DNA methylation can distinguish between aspects of diversity related to diet versus genetic population structure. Our findings suggest that DNA methylation could represent an important molecular marker to investigate population differences in ecologically relevant behavioral traits.
DOI: 10.6084/m9.figshare.4555498.v1
title: A3 dataset

description: Gamma radiation counts by Samsung A3 smart-phone.<br><br>In:<br>Alessandri S. [DIS-16-0062] In the field Feasibility of a Simple Method to Check for Radioactivity in Commodities and in the Environment. PLOS Currents Disasters. 2017 Jan 15 . Edition 1. doi: 10.1371/currents.dis.07059b54a787dcfcf53ac46ab5a6a809.<br>
DOI: 10.17632/d26wht4zyr
title: High-resolution bathymetric dataset of Lake Issyk, Kazakhstan: new insights into the morphology of a mountain reservoir

description: The collection contains raster and vector data acquired during the bathymetric study of Lake Issyk. The primary data is provided as a digital elevation model of the lakebed, stored in GeoTIFF format. The raster file (Esik_DEM.tif) possesses a spatial resolution of 1 meter and offers comprehensive data on the depths and morphology of the lakebed. 
A The digital elevation model (Esik_DEM.tif) is created based on a shapefile with point data representing depth values reduced to the corresponding coordinates. Spatial sampling algorithms were employed to generate the point shapefile. Employing an echo sounder with a data gathering interval of 1-2 seconds ensured the data's accuracy. The error in-depth readings is ±0.5% of the observed depth, attributable to the features of the echo sounder and external influences, including vessel speed and weather conditions. Nonetheless, the impact of these effects is mitigated due to the cyclical nature of data gathering.
DOI: 10.17632/ffwgjdfn86
title: Road Traversing Knowledge for Quality Classification

description: This dataset consists of 6.297 labeled images from Brazil's inner country roads captured by a low-cost camera (HP Webcam HD-4110) attached to a moving vehicle. The dataset presents three quality levels classes (good, regular, and bad) for each surface kind: asphalt, paved and unpaved. The only exception is the unpaved surface that does not contain the class "good" due to its poor nature. The number of images by surface-quality class is:

asphalt-good: 1978
asphalt-regular: 839
asphalt-bad: 464
paved-good: 1179
paved-regular: 324
paved-bad: 124   
unpaved_bad: 593
unpaved-regular: 796


All images were collected during the daytime in good weather conditions. The frames present lighting variations, shadows, and solar glare. Moreover,  it is also noticed intra-class variations, such as asphalt surfaces with different color intensities, e.g., older asphalts are usually lighter than the new ones; paved surfaces formed by different patterns, e.g., cobblestone and concrete; and unpaved surfaces, which are naturally uneven.

The directory is organized by subdirectories named with the "surface_quality".
DOI: 10.17632/mpmg9nv9gv
title: Public Debt and Household Inflation Expectations

description: Replication package for the paper "Public Debt and Household Inflation Expectations" by Francesco Grigoli and Damiano Sandri, published in the Journal of International Economics
DOI: 10.17632/v8wsjm3fnp
title: Complementary dataset for "Integrating agro-industrial waste in clay-based porous ceramics for eco-friendly cooling applications"

description: This dataset presents detailed experimental data on the development and characterization of ecofriendly porous ceramics made from natural clay, rice husk, and recycled ceramic waste, aimed at applications in passive and evaporative cooling systems. It includes measurements of apparent porosity (%), bulk density (g cm⁻³), linear shrinkage (%) (drying and firing), water absorption (%), thermal conductivity (W m⁻¹ K⁻¹), thermal diffusivity (mm² s⁻¹), compressive strength (MPa), and flexural strength (MPa) for seven different mixtures (M0–M6) fired at 900°C, 1000°C, and 1100°C. Additional data include the permeability coefficient and capillary absorption coefficient of fired products, as well as cooling performance metrics under varying air velocities to assess thermal-hygrometric behavior. The dataset also provides mineralogical data from X-ray diffraction (XRD) analyses and thermal properties derived from DTA/TGA of the raw materials. These data support research on sustainable construction materials and energy-efficient cooling technologies.
DOI: 10.6084/m9.figshare.12732170.v1
title: Combined seismic and geodetic analysis before, during and after the 2018 Mt. Etna eruption

description: GNSS Time series and seismic data
DOI: 10.6084/m9.figshare.4892075.v1
title: Fig_6_Data_for_overview_schematic

description: Data for Fig. 6. Contains a series of optimization results, including the desired result, achieved result, and masked residual for 7 iterations. Also includes the mirror impulse response.