cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/bt683rhwtf
title: Neural decoding of speech with semantic-based classification

description: This is an archive of the data, analysis scripts, and materials for the experiment reported in Lin, Y. & Hsieh, P. J. (2022). Neural decoding of speech with semantic-based classification.

We asked subjects to either read or speak 119 words in the MRI scanner and test whether it is possible to develop language classifiers by associating brain data with semantic representations. For more details, please check our manuscript.
DOI: 10.17632/cvvyytydsj
title: dataset-Voronoi Tessellations based Simple Optimizer

description: This data reports performance results of the Voronoi Tessellations-based Simple Optimizer (VTSO) algorithm on 30D and 50D problems of CEC14 and CEC17 benchmark problems. In addition, for studying the effect of distinct mutation strategies of the DE algorithm on the VTSO algorithm is presented in the initial tables.
DOI: 10.6084/m9.figshare.12574001.v1
title: Nutrition Uptake and Disease of Children with Anemia in Peru.dta

description: Anemia and diet
DOI: 10.6084/m9.figshare.13633346.v1
title: Data

description: The dataset contains several earthquakes waveform that has been used by SCALODEEP approach.
DOI: 10.6084/m9.figshare.16530714.v2
title: Flood vulnerability mapping for Bhutan

description: This data set contains record of historical flood events in Bhutan, de-clustered flood hazard, impacts, rainfall and DFVI data used for mapping at district level.
DOI: 10.6084/m9.figshare.27103858.v1
title: Reprogramming tumor microenvironment via systemic delivery of TLR3 agonist and manganese nanoparticle

description: Despite the promise of Toll-like receptor agonists as immune adjuvants, their antitumor efficacy has been limited in the clinic. Here, we report the development of a lipid nanoparticle system (PLCMP) designed for codelivery of a TLR3 agonist and Mn<sup>2+</sup> and simultaneous activation of TLR3 and stimulator of interferon genes (STING) pathways. Systemic administration of PLCMP in combination with α-PD-1 therapy led to strong antitumor effects in multiple murine tumor models. In addition, we have demonstrated the potential of the PLCMP platform to deliver tumor antigens and induce antigen-specific T cell responses, leading to improved cancer vaccination.
DOI: 10.6084/m9.figshare.5786526.v1
title: RWF9SvsRWF9M.DEG_GO_enrichment_result_down.xls

description: GO_enrichment
DOI: 10.6084/m9.figshare.28103306.v1
title: Characteristics of leaf nutrient resorption efficiency across Tibetan alpine permafrost ecosystems

description: Data of nutrient resorption efficiency and soil mineralization rate across Tibetan alpine permafrost ecosystems
DOI: 10.6084/m9.figshare.4626220.v1
title: PowerPoint Slides for: Rationale and Design of a Clinical Trial Investigating Tolvaptan Safety and Efficacy in Autosomal Dominant Polycystic Kidney Disease

description: <b><i>Background:</i></b> In TEMPO 3:4, the vasopressin V2-receptor antagonist tolvaptan slowed kidney growth and function decline in autosomal dominant polycystic kidney disease (ADPKD) patients with relatively preserved kidney function. <b><i>Methods:</i></b> Prospective, phase 3b, multi-center, randomized-withdrawal, placebo-controlled, double-blind trial of tolvaptan in ADPKD patients with late stage 2 to early stage 4 chronic kidney disease (CKD). The primary endpoint was estimated glomerular filtration rate (eGFR) change from pre-treatment baseline to post-treatment follow-up. Secondary endpoints included annualized eGFR slope, incidence of ADPKD complications, and overall and hepatic safety profiles. Participants were 18-55 year-old ADPKD patients with baseline eGFR ≥25 and ≤65 mL/min/1.73 m<sup>2</sup> or 56-65 year-old with eGFR ≥25 and ≤44 mL/min/1.73 m<sup>2</sup> and evidence of eGFR decline &gt;2.0 mL/min/1.73 m<sup>2</sup> per year. Daily split doses of tolvaptan were titrated to tolerance (30/15, 45/15, 60/30, or 90/30 mg) and maintained for 12 months, after an 8-week pre-randomization period to screen out subjects unable to tolerate at least 60/30 mg for 3 weeks. <b><i>Results:</i></b> Of 1,495 subjects who entered the tolvaptan titration period, 125 (8.4%) discontinued the study before randomization. One thousand three hundred seventy subjects (684 tolvaptan, 686 placebo) from 213 centers across 21 countries were randomized. Baseline demographics were well balanced across treatment arms. Information collected during the study included eGFR, survey scores (PKD history and outcome), adverse events, vital signs, hematology, urinalysis, and serum chemistry tests. <b><i>Conclusion:</i></b> Replicating Evidence of Preserved Renal Function: An Investigation of Tolvaptan Safety and Efficacy (REPRISE) determines whether tolvaptan administered over 1 year exhibits disease-modifying properties in ADPKD patients with late stage 2 to early stage 4 CKD, which provides an important therapeutic advancement for this difficult-to-treat disease.
DOI: 10.6084/m9.figshare.8378291.v1
title: ECGDataDenoised.zip

description: The newly inaugurated research database for Electrocardiogram (ECG) signals, which was created under the auspices of Chapman University and Shaoxing People's Hospital (Shaoxing Hospital Zhejiang University School of Medicine), aims to conduct the study of cardiovascular biomedical signals via extensive computer simulations. Certain types of cardiovascular conditions, such as atrial fibrillation, have wide and severe impact on public health, quality of life, and medical expenditures. The non-invasive test, the long term ECG monitor is a major and vital diagnosis tool for detecting such conditions. However, such practice generates considerable amount of data, and presents itself as very challenging since analyzing by experts in the field can be dramatic consumption of time and cost. As such, obtaining the correct and most efficient diagnosis algorithm is of great important to public health. Thanks to the development of modern machine learning and statistical analysis, the more data with creditable labels are available, the better algorithm will be achieved. Thus, we propose this dataset contains 10,646 patients 12-lead ECGs with 500 Hz sampling rate and including 11 common rhythms and 67 conditions, which are labeled by professional experts. The dataset can be widely applied for artificial intelligence or machine learning algorithm research, arrhythmia and other cardiovascular conditions analysis, biomedical signal study, and cluster or classification statistical study.
DOI: 10.6084/m9.figshare.20324865.v3
title: EEL human visual cortex 445 genes spatial RNA data

description: <strong>Raw RNA locations of a visual cortex human brain section produced by EEL FISH for 445 genes.</strong> <br> RNA files are in the .parquet format which can be opened with FISHscale (https://github.com/linnarsson-lab/FISHscale) or any other parquet file reader (https://arrow.apache.org/docs/index.html) <br> <strong>RNA .parquet files</strong> Position and gene label for all RNA molecules. "c_px_microscope_stitched" contains X coordinates. "r_px_microscope_stitched" contians Y coordinates. The unit are pixels with a size of 0.18 micrometer. Multiply by 0.18 to get um scale. <br> "hamming_distance" is the hamming distance divided by the barcode length (16). The closer to 0 the better the barcode. <br> <strong>Gene colors .pkl file</strong> Pickled Python dictionary with gene colors used in the paper.
DOI: 10.17632/jn3kt83hzh
title: Experimental data on binary interactions of subaqueous barchans

description: This is part of the data concerning experiments on binary interactions of subaqueous barchans. In this dataset, you find animated movies and images for each pattern observed during lab experiments, and lists containing all tests performed on both configurations (aligned and off-centered position).
DOI: 10.6084/m9.figshare.14179583.v1
title: Example experimental data for validation of motor unit identification using deep CNN

description: This is an example data set for validation of motor unit identification using deep CNN. <br>The data set includes HD-EMG and spike trains identified through blind source separation from 3 repeats of isometric contractions at 50% MVC. The HD-EMG and spike trains were segmented into frames with window size of 120 data points and step sizes of 50, 10, 20, and 40 data points.
DOI: 10.6084/m9.figshare.27084052.v1
title: source data.xlsx

description: Inspired by the concept of structural superlubricity, humidity-insensitive and stable superlubricity are achieved by hydrogen-free graphene nanoflakes covered on amorphous carbon surface, achieving the leap from microscale to macroscale contact.
DOI: 10.17632/7b67ynzr6k
title: LOCBEEF:  BEEF Quality Image dataset for Deep Learning Models

description: The LOCBEEF dataset contains 3268 images of local Aceh beef collected from 07:00 a.m - 22:00 p.m, more information about the clock is shown in Figure. The dataset contains two categories of directories, namely train, and test. Furthermore, each subdirectory consists of fresh and rotten.  The image directory for train contains 2228 images each subdirectory contains 1114 images, and the test directory contains 980 images for each subdirectory containing 490 images. For images have a resolution of 176 x 144 pixel, 320 x 240 pixel, 640 x 480 pixel, 720 x 480 pixel, 720 x 720 pixel, 1280 x 720 pixel, 1920 x 1080 pixel, 2560 x 1920 pixel, 3120 x 3120 pixel, 3264 x 2248 pixel, and  4160 x 3120 pixel.

The meat image is placed on a plate with a beef size of ± 10x10 cm, then taken using a smartphone that has an open camera application installed to get a different resolution. The smartphone uses a tripod with a distance to the meat of 20 cm at room temperature between 28-30 °Celsius and lighting using lamps.

The classification of LOCBEEF datasets has been carried out using the deep learning method of Convolutional Neural Networks with an image composition of 70% training data and 30% test data. Images with the mentioned dimensions are included in the LOCBEEF dataset to apply to the ResNet-50.
DOI: 10.17632/gk3z8gp7cp
title: Questionnaire data on land use change of Industrial Heritage: Insights from Decision-Makers in Shiraz, Iran

description: The survey dataset for identifying Shiraz old silo’s new use which includes four components:
1.	The survey instrument used to collect the data “SurveyInstrument_table.pdf”. The survey instrument contains 18 main closed-ended questions in a table format. Two of these, concern information on Silo’s decision-makers and proposed new use followed up after a short introduction of the questionnaire, and others 16 (each can identify 3 variables) are related to the level of appropriate opinions for ideal intervention in Façade, Openings, Materials and Floor heights of the building in four values: Feasibility, Reversibility, Compatibility and Social Benefits. 
2.	The raw survey data “SurveyData.rar”. This file contains an Excel.xlsx and a SPSS.sav file. The survey data file contains 50 variables (12 for each of the four values separated by colour) and data from each of the 632 respondents. Answering each question in the survey was mandatory, therefor there are no blanks or non-responses in the dataset. In the .sav file, all variables were assigned with numeric type and nominal measurement level. More details about each variable can be found in the Variable View tab of this file. Additional variables were created by grouping or consolidating categories within each survey question for simpler analysis. These variables are listed in the last columns of the .xlsx file. 
3.	The analysed survey data “AnalysedData.rar”. This file contains 6 “SPSS Statistics Output Documents” which demonstrate statistical tests and analysis such as mean, correlation, automatic linear regression, reliability, frequencies, and descriptives. 
4.	The codebook “Codebook.rar”. The detailed SPSS “Codebook.pdf” alongside the simplified codebook as “VariableInformation_table.pdf” provides a comprehensive guide to all 50 variables in the survey data, including numerical codes for survey questions and response options. They serve as valuable resources for understanding the dataset, presenting dictionary information, and providing descriptive statistics, such as counts and percentages for categorical variables.
DOI: 10.17632/gxk4494426
title: Dynamic redox conditions in Mesoproterozoic shallow seawater: Constraints from carbonate fabrics and geochemistry

description: This database contains the iodine, Mg, Ca, Mn, Sr concentration of carbonate from the Mesoproterozoic Wumishan Formation, North China, as well as the reference material GSR 12 and JDo-1.
DOI: 10.17632/k5hdc9cz7w
title: Integration of Swin UNETR and statistical shape modeling for a semi-automated segmentation of the knee and biomechanical modeling of articular cartilage

description: Our study aimed to enhance subject-specific knee joint FE modeling by incorporating a semi-automated segmentation algorithm. This segmentation was a 3D Swin UNETR for an initial segmentation of the femur and tibia, followed by a statistical shape model (SSM) adjustment to improve surface roughness and continuity. Five hundred and seven magnetic resonance images (MRIs) from the Osteoarthritis Initiative (OAI) database were used to build and validate the segmentation model. The masks for the femur, tibia and cartilages were performed by skilled users from the Zuse Institute Berlin "F. Ambellan, A. Tack, M. Ehlke, and S. Zachow, “Automated segmentation of knee bone and cartilage combining statistical shape knowledge and convolutional neural networks: Data from the Osteoarthritis Initiative,” Med Image Anal, vol. 52, pp. 109–118, 2019."
The Swin UNETR and SSM models and codes have been made publicly available, so researchers can use these models or customize the code for a different dataset to meet their needs. Please refer to our GitHub for any update https://github.com/Rezakaka/knee-segmentation.git
DOI: 10.17632/njdjkbxdpn
title: Military and Civilian Vehicles Classification

description: We created our own dataset featuring the required military and civilian vehicle classes. The dataset contains a total of 6772 images of military trucks, military tanks, military aircraft, military helicopters, civilian cars and civilian aircraft. Out of which, 6642 are positive images and 130 are negative images. Positive images are those which contain one or more of the defined objects (i.e. Military Truck, Military Tank, Military Aircraft, Military Helicopter, Civilian Car, Civilian Aircraft). Negative images are those which contain anything else except the defined objects. All the positive images contains a total of 11528 objects. The use of negative images has a specific purpose, which is, to make the model learn about such an environment when there are no detectable objects in the image. The extension of images was converted from .jpeg and .png to .jpg, since, it is difficult to process the models with the different extensions. After the dataset collection and pre-processing, the formation of specific format files is to be carried out for dealing further with the object detection models. The Labelling is done in .txt, .csv, .xml, and tf record formats.
DOI: 10.6084/m9.figshare.28943690.v3
title: <b>10-meter Resolution Mapping of Farmland Shelterbelts in Northeast China (2019–2023)</b>

description: This study employs multi-temporal Sentinel-2 imagery and leverages the unique phenological characteristics of shelterbelts to develop a multi-feature classification model that integrates spectral, texture, and temporal features. Using this approach, we successfully produced a 10-meter resolution farmland shelterbelt distribution map of Northeast China for the period 2019 to 2023. The results revealed a consistent year-on-year increase in shelterbelt length. The proposed method achieved an overall classification accuracy of 93.25% with a Kappa coefficient of 0.91. This study provides a novel approach for high-precision identification of farmland shelterbelts and offers valuable insights for remote sensing monitoring of other agroforestry ecosystems.
DOI: 10.6084/m9.figshare.6106682.v3
title: Hendrick_WVFish_MaxEntData

description: Environmental data in SWD format for species occurrence records ("Sample)" and random sample of landscape ("Background") across the Ohio River Basin for nine freshwater fish of West Virginia; Results from MaxEnt species distribution models included for each species. Three projection files for the Ohio River Basin included: historical (1960-1990) and two mid-century (2041-2060) climate scenarios (RCP 4.5 and RCP 8.5).<br>
DOI: 10.17632/nfmhnzbfy9
title: Database of push tests on specimens with headed stud shear connectors welded within the ribs of profiled steel decking transverse to the supporting beams

description: This database contains the results of 464 push tests on specimens with headed stud shear connectors welded within the ribs of profiled steel decking transverse to the supporting beams. Both trapezoidal (open trough) and re-entrant steel decks are included, with the studs either: through-deck welded, or welded directly to the steel flange with holes provided in the decking. The database can be used as a basis for structural reliability analyses, or the development of machine learning models for predicting the resistance of headed stud connectors used in composite steel and concrete construction.
DOI: 10.6084/m9.figshare.21840405.v1
title: Cuestionario sobre abandono escolar temprano. CAET. Estructura completa.

description: Estructura completa del cuestionario CAET sobre abandono escolar tamprano.
DOI: 10.6084/m9.figshare.3750276.v1
title: Supplementary Material for: Long-Term Outcomes in Patients with Very-Early Onset Autosomal Dominant Polycystic Kidney Disease

description: <i>Background:</i> Long-term clinical outcomes in children with very-early onset (VEO; diagnosis in utero or within the first 18 months of life) autosomal dominant polycystic kidney disease (ADPKD) are currently not well understood. We conducted a longitudinal retrospective cohort study to assess the association between VEO status and adverse clinical outcomes. <i>Methods:</i> Seventy patients with VEO-ADPKD matched (by year of birth, sex and race/ethnicity) to 70 patients with non-VEO-ADPKD who participated in research at the University of Colorado were studied. Kaplan-Meier survival analysis was performed. The predictor was VEO status, and outcomes were progression to end-stage renal disease (ESRD), development of hypertension, progression to estimated glomerular filtration rate (eGFR &lt;90 ml/min/1.73 m2), glomerular hyperfiltration (eGFR ≥140 ml/min/1.73 m2) and height-adjusted total kidney volume (htTKV) measured by MRI ≥600 ml/m. <i>Results:</i> Median follow-up was until 16.0 years of age. There were only 4 ESRD events during the follow-up period, all in the VEO group (p &lt; 0.05). VEO patients were more likely to develop hypertension (hazard ratio, HR 3.15, 95% CI 1.86-5.34; p &lt; 0.0001) and to progress to eGFR &lt;90 ml/min/1.73 m2 (HR 1.97, 95% CI 1.01-3.84; p &lt; 0.05) than non-VEO patients. There was no difference between groups in the development of glomerular hyperfiltration (HR 0.89, 95% CI 0.56-1.42; p = 0.62). There were only 7 patients who progressed to htTKV ≥600 ml/m, 4 in the VEO group and 3 in the non-VEO group (p &lt; 0.01). <i>Conclusions:</i> Several clinical outcomes are worse in patients with VEO-ADPKD compared to non-VEO ADPKD. Children with VEO-ADPKD represent a particularly high-risk group of ADPKD patients.
DOI: 10.6084/m9.figshare.3829986.v2
title: scikit-learn lfw dataset lfw.tgz

description: Part of the LFW dataset used in scikit-learn.
DOI: 10.6084/m9.figshare.5623705.v2
title: R code and raw data for Clark et al Parasites & Vectors

description: These files provide sample R scripts and raw data necessary to calculate flea functional-phylogenetic host specificity and analyse flea infestation probability in wild mammals using phylogenetic glmms. The pdf files contain the code necessary for completing analyses.
DOI: 10.17632/cgc33scxg7
title: Forward football player valuation

description: A database was generated with information on 483 soccer forwards from the Transfermarkt.de page. Only those with a market value of less than 40 million euros and who had at least one goal scored were selected. The values of the players were divided into ranges from 1 to 5, and an ordered logit model was carried out, finding a significant positive relationship between the value range of the forwards and that they play in Europe, as well as the logs of the goals and the number of Instagram followers of each of them. Similarly, a significant negative relationship was found between the value range and the logarithms of age and the number of minutes to score a goal. The model yields a correctly predicted percentage of 35.4%.
DOI: 10.17632/kjt5pcnkny
title: Data for: THE DATASET RELATING THE RELATIONSHIP BETWEEN SELF-CONTROL AND HOPE AMONG SAMPLES IN MALAYSIAN REHABILITATION CENTERS

description: The file consists of data from 244 respondents who completed the 24-item Self-Control Scale and 30-item Herth Hope Scale. The data were analysed using composite and average scores. Statistical analysis used included descriptive analysis (frequency, mean and standard deviation) and correlation.
DOI: 10.6084/m9.figshare.20102576.v1
title: Do file -WS decom.

description: This is the do file to replicate the results of "welfare state decommodification and population health."
DOI: 10.6084/m9.figshare.20387082.v2
title: Dataset_Scalon et al_Biogeosci.csv

description: Nutrient concentration in different organs from plant species from Cerrado and Cerradão used in the paper: "Contrasting strategies of nutrient demand and use between savanna and forest ecosystems in a neotropical transition zone"
DOI: 10.6084/m9.figshare.21081025.v2
title: Flower Reflectance data: Differences in flower colour perception between Humans, Bees and Flies

description: Flower reflectance data for flowers and details about r codes.
DOI: 10.6084/m9.figshare.1309950.v1
title: Secondary Dataset (tags) for "Evolution of Popular Music: USA 1960–2010"

description: We also provide this additional file with genre tags for every song, which we used for validation. Here, too, the rows correspond to recordings. The data sets can be joined via the recording_id field.
DOI: 10.6084/m9.figshare.26662129.v1
title: Drake et al. settlement tile coral recruit abundance and benthic taxa across the Great Barrier Reef and Torres Straits

description: Coral recruit abundance, benthic taxa percent cover, spatial, and environmental data of unique settlement tiles deployed across ecological gradients along the GBR and Torres Straits ("Drake et al settlement tiles.xlsx"). These data are used to understand which environmental conditions and benthic taxa best predict coral recruit densities across environmental gradients. The settlement tiles were deployed at 141 stations in 2021 and collected after 20 to 24 months.Benthic taxa on settlement tiles were classified using the AI software ReefCloud (https://reefcloud.ai/). To validate the use of the software with respect to the present data, a random subset of 25% of the settlement tile images were annotated under 20 evenly spaced grid points. Results of human classification versus machine classification of benthic taxa per settlement tile in "Drake et al AI validation.xlsx".
DOI: 10.6084/m9.figshare.1508589.v1
title: Open PHACTS 1.5.0 linksets connctions CSV

description: A summary of void linksets used in Open PHACTS 1.5.0 Identity Mapping Service (IMS). Note that only a single direction is shown, although all linksets are used bidirectionally. The direction chosen is picked so that the source is more widely used. Manually extracted from the IMS mySQL database and the live QueryExpander instance, which was loaded with the Open PHACTS 1.5.0 linksets. Massaged to a CSV file using sed.