cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/2yzjmp52fw.1
title: SLS Powder bed defects

description: This is a real manufacturing dataset that contains images of the powder bed surface of a selective laser sintering system. The images in this dataset were used to monitor and document the quality of the printing process. The dataset consists of two folders. The data folder contains 8514 images of OK and DEF powder bed images. The data_balanced folder is subdivided into three subgroups, each with separate directories for two classes, OK and DEF. The training subgroup contains 1000 images in each class, the validation subgroup contains 500 images in each class and the test subgroup contains also 500 images in each class. The data_balanced folder thus consists of 4000 images that were copied from the data folder and then specially processed and classified into the subgroups and classes. The images for each subgroup were randomly selected from the data folder. Due to the lack of DEF images, some DEF images have been copied into the respective directories. It was ensured that no picture appears twice in the individual subgroups and subdirectories. A more detailed description of the dataset can be found in the associated article: https://doi.org/10.1016/j.addma.2021.101965
DOI: 10.17632/g5bg3z5993.1
title: A Proof-of -Concept Open-Label Clinical Trial of Spleen Tyrosine Kinase Antagonism using Fostamatinib in Moderate-to-Severe Hidradenitis Suppurativa

description: Supplementary Files and Data
DOI: 10.17632/jwyy9np4gv.3
title: A dataset of lung sounds recorded from the chest wall using an electronic stethoscope

description: Annotated audio files (separate combined annotation file) of lung sounds as recorded from various vantage points of the chest wall. The annotation includes the sound type (Insipratory: I, Experiatory: E, Wheezes: W, Crackles: C , N:Normal), the diagnosis as decided by a specialist (Asthma, COPD, BRON, heart failure, lung fibrosis, etc.), and the location on the chest wall from which the recording was taken (Posterior: P Lower: L Left: L Right R, UPPER: U, ANTERIOR: A, MIDDLE: M). The audio file names are coded: 1. Filter type; B: BELL 20-200Hz, Diaphragm 100-500 Hz, Extended range 50-500 Hz. 2. Patient number: P1-P112. The zipped folder "Audio Files.zip" contains the .wav files, whereas "Stethoscope Files.zip" contains the original records imported from the stethoscope.
DOI: 10.17632/sb6hrs3fbn.1
title: LINF_310019500

description: pentamidine resistance protein 1 | ABCC5
Leishmania infantum (strain JPCM5)
DOI: 10.17632/zbrjd49b7c.1
title: Data for: Failure analysis and microstructural assessment of secondary reformer burner nozzles made from Incoloy 825 in an ammonia production plant

description: 14 shapes were uploaded in order
DOI: 10.17632/8rzyn3ng9c.1
title: LA-Breast DCE-MRI Dataset

description: Images were selected from retrospective studies corresponding to Latin American patients. Studies were selected according to the acquisition parameters with the aim to preserve diversity but ensure homogeneity among them. Each study was anonymized following the convention “MRI\_N” where N represents the integer number of the patient (between 1 and 200). Each study contains 15 imaging sequences: pre-contrast T1 fat saturated Dynamic (d0), five postcontrast T1 fat saturated dynamics (d1 to d5), T1 with no fat saturation (t1), T2 with no fat saturation (t2), the apparent diffusion coefficient image (ADC) and the diffusion image (Diff). All image sequences were obtained and stored using the standard DICOM 3.0. Besides, all studies were acquired using multiple 1.5T scanners and all contrast agents were gadolinium-based with dosages between 0.014 and 0.016 l/mol as they were obtained retrospectively. Each patient data was filtered according to their available clinical finding, were benign and malignant lesions were prioritized to ensure at least one relevant clinical finding across all images. Thereupon, the data contains balanced train, test and validation sets in terms of benign/malignant lesions, as well as non-dense/dense tissue. Additionally, annotations per image are provided with lesion location (x and y coordinates) BIRADS and tissue density. This data can be used for multiple purposes, including image synthesis, image characterization, lesion classification, tissue segmentation, among others. This dataset can be used for multiple purposes, such image synthesis, image characterization, lesion classification, tissue segmentation, among others.
DOI: 10.17632/2pcnt8kpw9.1
title: Data for: In-Process Virtual Verification of Weld Seam Removal in Robotic Abrasive Belt Grinding Process Using Deep Learning

description: -Dataset folder contains 5 classes of weld seam geomentry #2000 images #All images are in 640X480 pixels #2000 images for background class #500 images for four weldseam classes -Label folder contains pixel wise labelling of the 5 classes #2000 label images for each class --------------------------------- Colour codes for each class 000 000 000 %background 2000 images 192 200 20 %seam1 500 images 000 000 192 %seam2 500 images 192 000 000 %seam3 500 images 128 192 000 %seam4 500 images ---------------------------------
DOI: 10.17632/zgsw84b2ff.1
title: Smart Home Dataset

description: The OpenSHS has 29 sensors which form part of the part of the headers of dataset. The sensors are placed on carpets, doors, lights, bed, couch, fridge, oven, tv, and wardrobes.
In addition to these sensors, the dataset also contains the activity column that describes what activity (eat, sleep, work, personal, other, or anomaly) being simulated.
Another column included in the dataset is the timestamps. This captures the time the sensor was activated and aggregated accordingly during the aggregation phase of the simulation process.
DOI: 10.17632/5kygfmfdmr.1
title: Image Dataset taken by 1U CubeSat Constellation in the Low Earth Orbit

description: This dataset contains images taken by four 1U CubeSats (3 satellites from BIRDS-3 and 1 satellite from BIRDS-4) that belong to the BIRDS Constellation of satellites.  The camera mission payload employs a single 5-megapixel (MP) OV Arducam module, 8-bit Atmega2560V MCU, and 1Gb MT25QL01GB as non-volatile flash storage. Images are available at different resolutions such as 1280 x 960, 640 x 480, and 320 x 240.
A commercial S-mount, M12 lens from Lensation was used for optics, however, BIRDS-3 and BIRDS-4 used different specifications. For BIRDS-3, the lens has a focal length of 2.9mm and an f2.0 aperture providing a diagonal field of view (DFOV) of 103º. The ground swath calculated from a 400 km orbit is about 700 km by 450 km. For BIRDS-4, the lens has a focal length of ¼ inch and an f1.8 aperture providing a diagonal field of view (DFOV) of 125º. The ground swath calculated from a 400 km orbit is about 800 km by 600 km.
The CubeSats were deployed from International Space Station (ISS) into an orbit of altitude 400 km, inclination of 51.6°, and orbital duration of 92.6 minutes. The satellites do not have any attitude control, so the satellites are in free rotation at approximately 3 deg/s on each axis.
The dataset contains 156 images from the BIRDS-3 constellation of satellites and 81 images from the BIRDS-4 satellite. The images have been named according to their resolution and basic classification into Earth images (ER), Horizon images (HZ), sunburn images (SB) and space images (SP). The images are unprocessed, raw images and the sizes of the images vary between 3kB for space images and up to 99kB for earth images.
DOI: 10.17632/2pt4vmyf27.2
title: Match Score Dataset for Team Ball Sports

description: This dataset contains match score data from major international competitions across 12 team ball sports: basketball, cricket, field hockey, futsal, handball, ice hockey, lacrosse, roller hockey, rugby, soccer, volleyball, and water polo. The dataset was obtained by web scraping data available on Wikipedia pages and includes, for each sport, the following information related to individual matches: the year of the competition edition when a match occurred, the names of the two opposing teams, their respective scores, and the name of the winning team.
DOI: 10.17632/tzm3576zdg.1
title: The January 6 Insurrectionists: Who They Are and What They Did (Dataset)

description: This is the underlying dataset for the Seton Hall Law Center for Policy and Research paper "The January 6 Insurrectionists: Who They Are and What They Did."
DOI: 10.17632/xf5cvrkwps.3
title: "HERMES CO2" – a tool to assess carbon dioxide emissions during production, construction and use stages of asphalt pavements

description: "HERMES CO2" spreadsheet tool assesses the amount of carbon dioxide CO2 emissions generated during the life of an asphalt pavement considering production stage, construction stage and use stage. "HERMES CO2" spreadsheet tool comprises inputs that are seldom touched in other tools designed to indicatively quantify CO2 emissions. The Life Cycle Assessment (LCA) approach is implemented. The work is part of the “HERMES” international research project.
DOI: 10.17632/jstxk9gpp3.1
title: Supplementary Material. Outcomes of Down-Titration in Patients with Severe Scalp Alopecia Areata Initially Treated with Baricitinib 4-mg: Week 152 data from BRAVE-AA2

description: eTable 1. Percentage of patients with a SALT score ≤20 at each post Week 52 visit
eTable 2. Percentage of patients with loss of treatment benefit through Week 152.
eTable 3. Baseline demographics and disease measures for patients down-titrated at Week 52 and experienced a loss of treatment benefit vs those who did not experience a loss of treatment benefit.
eTable 4. Summary of safety outcomes
eFigure 1. A) Sustained response (SALT score ≤20 from Weeks 36 to 52) and B) higher depth of response (SALT score ≤5 at randomized down-titration) were associated with a lower incidence of loss of treatment benefit.
eFigure 2. Proportion of patients with a response in A) eyebrow or B) eyelash regrowth from Weeks 52 to 152 for patients down-titrated at Week 52 versus those who remained on their original treatment dose.
DOI: 10.17632/74z6cc3j63.2
title: Gelatine characterization for electrophysiology phantoms

description: Raw data results files for publication "Electrical properties, accuracy, and multi-day performance of gelatine phantoms for electrophysiology". These show the impedance properties of different gelatine based phantoms for electrophysiology. Files are stored in Matlab .fig format and can easily be opened in Matlab (if instaalled) by double clicking on the file, or in Python using loadmat in scipy. File names correspond to the figure numbers used in the paper.
DOI: 10.17632/44s3w5bj4p.1
title: COULFG: Coulomb and Bessel functions and their derivatives, for real arguments, by Steed's method

description: Abstract Title of program: COULFG: Coulomb, Bessel Functions Catalogue number: ABNK Program obtainable from: CPC Program Library, Queen's University of Belfast, N. Ireland (see application form in this issue) Computer: IBM 370/165 and AS/7000; Installation: Daresbury Laboratory, Warrington, Lancs. Operating system: OS/360 GI compiler and HX compiler (level 2.2.1) Programming language used: ASA FORTRAN High speed storage required: 180 Kbytes No. of bits in a word: 32 Overlay structure: none Peripherals... Title of program: COULFG Catalogue Id: ABNK_v1_0 Nature of problem Coulomb interaction of charged particles in spherical coordinates (Coulomb functions) and uncharged particles (spherical Bessel functions), and general problems in cylindrical coordinates yielding Bessel-function solutions can be obtained with the program. COULFG computes the Coulomb wavefunctions Flambda(eta,x), Glambda(eta,x), F'lambda(eta,x) and G'lambda(eta,x) for a range of lambda-values in integer steps, l greater than or equal to lambda greater than or equal to m greater than -1, for real ... Versions of this program held in the CPC repository in Mendeley Data ABNK_v1_0; COULFG; 10.1016/0010-4655(82)90070-4 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2019)
DOI: 10.17632/8mds33crg9.1
title: Data and code for JCP

description: Abstract 
10 The G7 countries, as global leaders in adopting artificial intelligence (AI), have pledged to enhance ecological quality 
11 (EQ) through sustainable AI integration by 2040. This commitment underscores the need to transition from traditional 
12 industrial practices to AI-driven solutions that support ecological systems. The purpose of this study is to investigate 
13 the asymmetric effects of AI adoption on EQ within the G7 economies over the period 2000m1–2019m12, using an 
14 innovative quantile-on-quantile regression (QQR) approach to capture variations in the AI-EQ relationship across 
15 different levels of AI adoption. The findings reveal that at the initial stages of AI adoption (low quantiles), the impact 
16 on EQ is modestly positive in most G7 countries. This effect increases stronger in the transition phase and becomes 
17 significantly beneficial at higher quantiles of AI adoption. Robustness checks using kernel regularized least squares 
18 (KRLS), quantile regression (QR), and alternative measures of EQ confirm these results, ensuring the reliability of 
19 the conclusions. The study also highlights substantial cross-country differences in the AI-EQ relationship, indicating 
20 that tailored policy measures are necessary to maximize the ecological benefits of AI adoption. This research provides 
21 insights into how AI can be leveraged for sustainable development in major economies
DOI: 10.17632/tzydswhhb5.5
title: Multi-omics resolves a sharp disease-state shift between mild and moderate COVID-19. Su et al

description: We present an integrated analysis of the clinical measurements, immune cells and plasma multi-omics of 139 COVID-19 patients representing all levels of disease severity, from serial blood draws collected during the first week of infection following diagnosis. We identify a major shift between mild and moderate disease, at which point elevated inflammatory signaling is accompanied by the loss of specific classes of metabolites and metabolic processes. Within this stressed plasma environment at moderate disease, multiple unusual immune cell phenotypes emerge and amplify with increasing disease severity. We condensed over 120,000 immune features into a single axis to capture how different immune cell classes coordinate in response to SARS-CoV-2. This immune-response axis independently aligns with the major plasma composition changes, with clinical metrics of blood clotting, and with the sharp transition between mild and moderate disease. This study suggests that moderate disease may provide the most effective setting for therapeutic intervention.
DOI: 10.17632/kn4636mtvg.6
title: Data from: A High-Resolution Gridded Dataset to Assess Electrification in Sub-Saharan Africa

description: This repository hosts two ncdf4 files and a txt file containg the output data of the analyis. - One file reports the number of people without access in each grid cell between 2014 and 2020 - The text file allows to access tge 30 meter resolution version of the dataset on Google Earth Engine (based on the High-Resolution Settelement Layer - The third file reports the estimated consumption tier in each electrified cell in 2018 ___________________________________________ Changelog: (v5) - noaccess file updated (years 2019 and 2020 added) - file to access 30 meter resolution version on Google Earth Engine based on the High-Resolution Settelement Layer added ("noaccess_SSA_2014_2020_30m_GEE.txt") (v4) - License changed to CC BY 4.0. (v3): - Fixed a bug which was producing a lower-resolution output .nc file for the consumption tiers file. - Changelog added.
DOI: 10.15468/dl.vgcmyg
title: Occurrence Download

description: A dataset containing 515 species occurrences available in GBIF matching the query:
{
 "TaxonKey" : [
 "is Cymbaria daurica L."
 ]
}

 The dataset includes 515 records from 35 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009282-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/x9ypt9353r.1
title: Supplementary Information for: Functionalizing Window Coatings with Luminescence Centers by Combinatorial Sputtering of Scatter-Free Amorphous SiAlON:Eu2+ Thin Film Composition Libraries

description: This is the supplement to "Functionalizing Window Coatings with Luminescence Centers by Combinatorial Sputtering of Scatter-Free Amorphous SiAlON:Eu2+ Thin Film Composition Libraries" by Evert Merkx, Sadiq van Overbeek and Erik van der Kolk. This data contains supplementary information on how the transmission and emission data for the SiAlON library under investigation was fit. (181107_Supplement.pdf) Furthermore, this data contains the raw datasets (.xls) files that make up Figures 1 to 4 of the article. This comprises: * EDX.xls - All data from the fitting of the energy-dispersive X-ray spectroscopy (EDX), * Emission.xls - Raw emission measurements for selected points and fit data for all others, * RGB.xls - RGB coordinates describing the visible emisison for all measured points on the substrate, * RGB_normalized.xls - RGB coordinates, derived from normalizing the emissions from RGB.xls, * Transmission.xls - Data and locations for the fitted transmission data, including the raw data for selected points, * Decay.xls - Data and locations for the reported mean decay times, including the raw data for selected points.
DOI: 10.17632/6k38hr5zhw.1
title: Global data set on micro- and mesoplastic loads in marine sediments

description: We provide two files, an excel file named: "Global data set on micro- and mesoplastic loads in marine sediments" and a PDF file named "Metadata-Dataset".
The excel file provides the dataset and the list of references from which the data were extracted or derived. 
The PDF file provides a detailed description of the dataset and of the methods used to extract and derive data.
DOI: 10.17632/hsfbtymdmf.1
title: Briquette Data for Publication

description: The performance of the briquettes at different torrefaction temperature and feedstock mixture were experimentally determined. For instance, the physicomechanical properties such as the compressed density (CD), relaxed density (RD), durability index (DI), water resistance index (WRI), relaxation ratio (RR), and compressive strength (CS) are used to determine the strength attributes of the briquette fuel. The proximate characteristics including ash content (AC), volatile matter (VM), moisture content (MC), and fixed carbon (FC) content are used to evaluate the fuel properties in a briquette for application. The elemental characteristics including carbon content (CC), hydrogen content (HC), and nitrogen content (NC) present the elemental constituents of the briquette samples. The combustion indices including combustibility index (CI), fuel ratio (FR), and volatile ignitability (VI) are used to assess the suitability of a fuel in a coal engine. The FTIR presents the functional groups of the briquettes. The microstructural attributes of the briquettes at six different magnifications were obtained from SEM. The TGA presents the weight change of the briquettes when heated at a constant rate. 
The presented data contain all these parameters for raw sawdust, cassava peels, corn husk and their blends in pairs at different ratios and torrefaction temperatures.
DOI: 10.17632/v4pgsyn6dr.1
title: Cross-sectional data on stablecoin characteristics

description: This cross-sectional dataset depicts the characteristics of stablecoins. Stablecoins are digital currencies that are designed to have a non-volatile value relative to other assets. They represent a relatively young but increasingly important branch of the cryptocurrency market. The dataset qualitatively and quantitatively describes several features for each stablecoin analysed, including information about the affiliation with any cryptocurrency exchange, presence on cryptocurrency exchanges, trading pairs, peg, availability of technical documentation on the stablecoin websites, age, market capitalisation, trading volume, type specified based on collateral and stabilisation mechanism. The dataset was compiled from websites of the stablecoin projects, a crypto-data aggregator, and other auxiliary sources. Each data item presented in this dataset is accompanied by a detailed source. The dataset includes 30 stablecoins that were listed by CoinMarketCap.com (as of 8 May 2022) and launched before 1 July 2021. These are: Tether, USD Coin, Binance USD, Terra USD, Dai, True USD, Pax Dollar, Neutrino USD, Frax, HUSD, Origin Dollar, Gemini Dollar, Stasis Euro, sUSD, Celo Dollar, Qcash, Vai, Steem Dollars, mStable USD, USDK, Rupiah Token, EOSDT, CryptoFranc, NuBits, Italian Lira, Fei, Liquity USD, XSGD, TerraKRW, Basis Cash. The dataset excludes stablecoins that has been suspended, or for which the project’s website was either not available or uninformative or a misclassification as stablecoin was identified. This dataset could be used by researchers, investors, or regulators for cross-sectional comparative studies on the stablecoin market, especially when investigating the relationship between cryptocurrency market developments and stablecoin characteristics.
DOI: 10.17632/z5bypjm62y.1
title: Dataset on the characterization, and application of Pd and Rh-based catalysts in the reductive amination of biomass-derived phenolics

description: Biomass-derived phenols has been considered an excellent platform molecule, which can be converted into valuable products for the biorefinery industry.  The catalytic amination of phenolics under reductive conditions is a key route to a variety of secondary amines, for which the use of heterogeneous catalysts and reaction condition (various: phenol concentration, amine concentration, hydrogen pressure, temperature and substituted phenols) play a central role. In this dataset, we report on the liquid phase amination of phenolics (such as, phenol, o-cresol, p-cresol, methoxyphenol) with cyclohexylamine (CyA) under H2 atmosphere over commercial Pd/C and Rh/C catalysts. The experiments were performed under batch conditions during 6 hours, at different temperatures (100 - 140°C), for hydrogen pressures ranging from 0.5 to 2.5 bar and varying the initial concentration of the amine and phenol between 0.1 and 0.40 mol/L.
In addition, a dataset and figures on the characterization of the catalysts by Transmission Electron Microscopy (TEM), Scanning Electron Microscopy (SEM) with Energy Dispersive X-Ray Analysis (EDX), Brunauer- Emmett-Teller, X-ray diffraction (XRD) and temperature programmed reduction (TPR) are also reported. Finally, an excel file explaining the calculation of kinetic parameters is also provided with a complete description of the mathematical functions and procedures for processing reaction data gathered under dynamic conditions.
The data is organized in two folders:
Catalyst Characterization: Include figures, equipment reports and raw data on characterizations.
Catalytic assays: Includes raw GC data, *.xls files with processed data and an excel file with the kinetic assessment.
DOI: 10.17632/pjjms6yjpy.1
title: Data for: Gender Equality as an Enforcer of Individuals' Choice between Education and Fertility: Evidence from 19th Century France

description: This data was used in our empirical estimation.