cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nfnmpjczmx
title: brain drain and job satisfaction

description: This data contains the various factors influencing job satisfaction among healthcare practitioners in rural Kwabre East Municipality and how these conditions are informing their intention to emigrate. The various items within the dataset are explained below;
PROS: Professional Support
pros: Average of professional support
PS: Personal satisfaction
ps: Average of personal satisfaction
WKL: Workload
wkl: Average of workload
train: Training
TrainAvg: Average of training
SAL: Salary and Prospect
sal: Average of salary and prospect
BR: Brain drain (Intent to migrate)
br: Average of Brain drain
DOI: 10.17632/r4b54353fn
title: Jaczno bog

description: This data set includes palaeoecological data (covering peatland development over the last 1500 years) form Jaczno bog that were published in the paper: Marcisz, K., Kołaczek, P., Gałka, M., Diaconu, A.-C., Lamentowicz, M., 2020. Exceptional hydrological stability of a Sphagnum-dominated peatland over the late Holocene. Quaternary Science Reviews 231, 106180. Publication available in open access: https://doi.org/10.1016/j.quascirev.2020.106180 The project was funded by the National Science Centre (Poland), grant 2015/17/B/ST10/01656 The data set includes several proxies: - 14C dates and peat accumulation rates - Testate amoebae, testate amoeba functional traits and depth to water table reconstruction - Pollen - Plant macrofossils - Macroscopic and microscopic charcoal
DOI: 10.17632/5dgjpmjk85
title: Data for: The role of topography, soil, and remotely sensed vegetation condition towards predicting crop yield

description: Excel file contains the 3 supplemental tables in the manuscript. Table S1 contains individual tabs for each of the eight study sites (S1 to S8). Tables S2-S3 are individual tabs. Supplementary Table S1. 10 m resolution QA/QC data for each study site including: location, elevation, hydrogeophyscial surveys of EMI and neutron intensity, Landsat GCVI by year, crop yield by year, and First EOF of each covariate. Supplementary Table S2. Summary of MLR and RF fitting coefficients and statistical metrics by site and crop type. Supplementary Table S3. Summary of MLR and RF fitting coefficients and statistical metrics by site, crop type, and year. Supplementary R Code and results for sites S1 to S8 by crop.
DOI: 10.17632/5prc54r4rt
title: DeepFruits: Dataset of Fruits Images with different combinations for Fruit Recognition and Calories Estimation

description: A new labeled dataset consists of 21,122 fruit images of 20 diverse kinds of Fruits based on 8 different fruit set combinations. The number of images per class differs from one class to another. Sample images of all Fruit combinations are also attached. The train and test CSV files contain the Label of each corresponding Fruit class in each image based on the image file name.
DOI: 10.17632/7rcph2pdf5
title: Flexural vibration tests -- Time data of free decay, hollow and carbon-fiber filled specimen

description: The data set contains the raw data of the free decay after harmonic excitation of beam-shaped specimens clamped on one side. Type A is a test specimen with through-holes along the longest dimension of the specimen; Type B is as type A without holes; Type C is a test specimen like Type A but with dry carbon fibers in the cavities. The test was carried out in accordance with the DIN 6721-3 standard.
DOI: 10.17632/b54ktpthrp
title: Dataset on climate distance for trade analyses

description: This folder contains datasets (in dta format) and the STATA do-file that replicate results contained in:
Bozzola, M., Lamonaca, E., & Santeramo, F. G. (2023). Impacts of climate change on global agri-food trade. Ecological Indicators, 154, 110680. https://doi.org/10.1016/j.ecolind.2023.110680
Lamonaca, E., Bozzola, M., & Santeramo, F. G. (2024). Climate distance and bilateral trade. Economics Letters, 237, 111624. https://doi.org/10.1016/j.econlet.2024.111624

The datasets contains:
(i) time-varying measures of long-run climate conditions of countries
(ii) the difference in long-run climate conditions between country-pairs, here defined as Climate Distance.
The sample includes twenty economies accounting for two-third of global agri-food exports and representatives of different prevailing climates, observed over the period 1996-2015.

Researchers, practitioners and policy makers interested in the evaluation of the economic impacts of climate changes may use climate distances for further analyses.
DOI: 10.17632/jwvhbb7hsj
title: Veterinary Medicine Corpus (VMC)

description: The Veterinary Medicine Corpus (VMC, Özer and Akbaş, 2023), is a machine-generated collection of high-quality, open-access Research Articles (RAs) published between 2010 and 2022. Compiled in March 2022 using AntCorGen, a software utilizing the PLOS webpage's Application Programming Interface (API), the VMC captures and organizes complete articles. 

The VMC comprises articles that maintain structural consistency, featuring five primary sections: abstract, introduction, materials and methodology, results and discussion, and conclusion. Notably, metadata is absent from the corpus.

Initially, the system produced a corpus of 1,488 veterinary medicine articles, totaling 8,000,000 words. Subsequent to the procedures outlined in Özer & Akbaş (2024) titled ''Assembling a justified list of academic words in veterinary medicine: The veterinary medicine academic word list (VMAWL)'', the corpus was refined to 1,449 articles. These articles were automatically labeled and sorted using Digital Object Identifiers (DOIs). The PLOS API employed a machine-aided term-mapping algorithm to suggest categories for the published papers, utilizing the PLOS thesaurus (GitHub, 2022). However, the categorization produced by the PLOS website was not optimal. 

The default categorization provided by the PLOS thesaurus resulted in an uneven distribution across categories rather than a flat one. Additionally, the suggested categories in Table 2 were generated by machines and based on lexis rather than scientific criteria. To assess the statistical outcomes, we conducted a mock analysis using LancsBox, which revealed high dispersion values (as indicated by the coefficient of variation, CV) for frequently occurring tokens. This raised concerns about the reliability of developing a discipline-specific word list.

As a solution, we opted to refine the categorization process by seeking expert advice. Consequently, we established 4 parent categories and 17 child categories to streamline the classification, as illustrated below:

1. Pre-clinic (n=352)
Disease control and prevention/epidemiology
Veterinary microbiology
Veterinary parasitology
Veterinary pathology
Veterinary pharmaceutics and pharmacology
Veterinary virology

2. Internal medicine (n=426)
Veterinarians
Veterinary biometry
Veterinary diagnostics
Veterinary hospitals
Veterinary medicine.
Veterinary surgery

3. Zootechnics (n=121)
Livestock care and wildlife sciences

4. Veterinary diseases (n=550)
Bacterial diseases
Parasitic diseases
Viral diseases
Other (inherited/genetic diseases/disorders, genetical studies of species regarding diseases)

The filnal VMC is 1,449 artcles with 7,962,021 tokens.
DOI: 10.17632/8c4zbxfvwk
title: GERDA datasets including NGS and SGA data

description: Datasets linked to publication "Revealing viral and cellular dynamics of HIV-1 at the single-cell level during early treatment periods", Otte et al 2023 published in Cell Reports Methods
pre-ART (antiretroviral therapy) cryo-conserved and and whole blood specimen were sampled for HIV-1 virus reservoir determination in HIV-1 positive individuals from the Swiss HIV Study Cohort. Patients were monitored for proviral (DNA), poly-A transcripts (RNA), late protein translation  (Gag and Envelope reactivation co-detection assay, GERDA) and intact viruses (golden standard: viral outgrowth assay, VOA).
In this dataset we deposited the pipeline for the multidimensional data analysis of our newly established GERDA method, using DBScan and tSNE. For further comprehension NGS and Sanger sequencing data were attached as processed and raw data (GenBank).

Resubmitted to Cell Reports Methods (Jan-2023), accepted in principal (Mar-2023)

GERDA is a new detection method to decipher the HIV-1 cellular reservoir in blood (tissue or any other specimen). It integrates HIV-1 Gag and Env co-detection along with cellular surface markers to reveal 1) what cells still contain HIV-1 translation competent virus and 2) which marker the respective infected cells express. The phenotypic marker repertoire of the cells allow to make predictions on potential homing and to assess the HIV-1 (tissue) reservoir.
All FACS data were acquired on a LSRFortessa BD FACS machine (markers: CCR7, CD45RA, CD28, CD4, CD25, PD1, IntegrinB7, CLA, HIV-1 Env, HIV-1 Gag)
Raw FACS data (pre-gated CD4CD3+ T-cells) were arcsin transformed and dimensionally reduced using optsne. Data was further clustered using DBSCAN and either individual clusters were further analyzed for individual marker expression or expression profiles of all relevant clusters were analyzed by heatmaps.
Sequences before/after therapy initiation and during viral outgrowth cultures were monitored for individuals P01-46 and P04-56 by Next-generation sequencing (NGS of HIV-1 Envelope V3 loop only)  and by Sanger (single genome amplification, SGA)

data normalization code (by Julian Spagnuolo)
FACS normalized data as CSV (XXX_arcsin.csv)
OMIQ conText file (_OMIQ-context_XXX)
arcsin normalized FACS data after optsne dimension reduction with OMIQ.ai as CSV file (XXXarcsin.csv.csv)
R pipeline with codes (XXX_commented.R)
P01_46-NGS and Sanger sequences
P04_56-NGS and Sanger sequences
DOI: 10.17632/bnthfntfrm
title: Data and code of: Value proposition of predictive discarding in semiconductor manufacturing

description: Data and code related to the work
van Kollenburg, G.H., Holenderski, M. and Meratnia, N. 2022. Value proposition of predictive discarding in semiconductor manufacturing. Production Planning & Control. 
https://doi.org/10.1080/09537287.2022.2103471 

The Secom dataset was originally published at https://archive.ics.uci.edu/ml/datasets/SECOM by authors: Michael McCann, Adrian Johnston. 
Those authors were not involved in the current study. 
The file attached here, uci-secom.csv has the outcome (pass/fail) appended to the process variables.
DOI: 10.17632/ppfsk2p8sy
title: Microembolus Signal using Trancranial Doppler Ultrasound (TCD) Simulator

description: In monitoring system using Transcranial Doppler (TCD) ultrasound in stroke detection, the occurence of microembolus can happen at different branch of arteries, i.e. middle cerebral artery (MCA), internal cerebral artery (ICA) and posterior cerebral artery (PCA). Microembolus event that can be observed through the audible sound of ‘chirp’, ‘moan’ or ‘click’ is the risk factor that cause blockage in the blood vessel. The TCD signals collected are presented here.
DOI: 10.17632/37td5g2psx
title: Nutrition facts label

description: The dataset includes a comprehensive collection of nutritional information displayed on packaged foods available in shops across Ghana, encompassing both locally produced and imported products.
DOI: 10.17632/5prmtwgph3
title: Raw GNSS data, Xiaomi Mi 8, 10 minutes, 3 points, 40 days

description: The dataset is related to the paper "Practical applicability of processing static, short-observation-time raw GNSS measurements provided by a smartphone under tree vegetation" available at https://authors.elsevier.com/a/1cy9gxsQaEe%7E8
 The data from 40 days of raw GNSS measurements acquired using Xiaomi Mi8 smartphone.
The folders are named according to the day of measurement. The "gp" suffix means the data acquired with the application of a ground plane (i.e. first 20 days without the ground plane, next 20 days with the ground plane).
Sub-folders are named according to time of measurement, with the soonest being the open-area point, the middle is the partial-canopy point, and the latest the full-canopy point.
The rinex files in the sub-folders are named GEO* for the rover (smartphone) and BBYS* for BBYS CORS (base)
If you use GNSS analysis app, check GNSSlogger for GNSS logger logs (.txt). This data may differ from RINEX data as the acquisition time was slightly longer.
In case of need, there are BRDM ephemeris data for every day in the related folder.
Reference coordinates (both WGS84 and UTM 34N) are in the textfile.
In case of questions, contact the authors.
DOI: 10.17632/dbky8zr86f
title: Adoption of Online Grocery Shopping 

description: This data set was collected in Germany on the drivers and barriers of adoption of online grocery shopping.
DOI: 10.17632/pm5v6pwkkg
title: Genome-wide screens implicate loss of cullin ring ligase 3 in persistent proliferation and genome instability in TP53 deficient cells

description: TP53 deficiency is the most common alteration in cancer, however, alone is typically insufficient to drive tumorigenesis. To identify genes promoting tumorigenesis in combination with TP53 deficiency, we performed genome-wide CRISPR/Cas9 knockout screens coupled with proliferation and transformation assays in isogenic cell lines. Loss of several known tumor suppressor genes enhanced cellular proliferation and transformation. Surprisingly, loss neddylation pathway genes, promoted uncontrolled proliferation exclusively in TP53-deficient cells. CUL3 coupled with TP53 loss results in an oncogenic transcriptional program governed by the NFκB, AP-1 and TGF-β pathways. This program maintains persistent cellular proliferation, induces partial epithelial to mesenchymal transition, increases DNA damage, genomic instability, and the rate chromosomal rearrangements. Our findings reveal CUL3 loss as a key event stimulating persistent proliferation in TP53 deficient cells. These findings may be clinically relevant, since TP53-CUL3 deficient cells are highly sensitive to ATM inhibition, exposing a vulnerability that could be exploited for cancer treatment.
DOI: 10.17632/ztfggjjp4n
title: Data for: RADIATIVE HEAT TRANSFER IN FLIBE MOLTEN SALT PARTICIPATING MEDIUM IN A VERTICAL HEATED TUBE UNDER FORCED AND MIXED CONVECTION LAMINAR FLOWS

description: The contribution of radiative heat transfer (RHT) to convective heat transfer in a heated vertical pipe with laminar flow and constant wall temperature, for FLiBe molten salt, is investigated computationally. The combined effects of conduction in the fluid, forced convection, buoyancy, temperature-dependent physical properties, and thermal radiation are investigated. The P1 approximation is employed in the discretization of the Radiative Transfer Equation (RTE). The COMSOL Multiphysics software is used to generate the numerical solutions. Theoretical analysis demonstrates that only for intermediate values of the optical thickness, i.e. τ_D~O(1), the participating media effects are expected to be important. This analysis is confirmed computationally, where a value of τ_D≈4 is shown to lead to the highest increase in overall heat transfer behavior. Under forced convection, the Nusselt ratio Nu_total/ Nu_(no-rad) reaches a peak value of 1.76 at τ_D=4 and z/D=200, and is less than 1.1 for τ_D&lt;0.1 and τ_D&gt;60. Under aiding-flow mixed convection, Nu_total/ Nu_(no-rad) reaches a peak of 1.34 at τ_D=4.2 and is less than 1.1 for τ_D36. Under opposing-flow mixed convection, Nu_total/ Nu_(no-rad) reaches a peak of 1.81 at τ_D=4.2 and is less than 1.1 for τ_D&lt;0.2 and τ_D&gt;50. RHT effects on the overall heat transfer are most pronounced in opposing mixed convection where peak Nu_total/ Nu_(no-rad) is 2.26 observed at z/D=50. The sensitivity to wall emissivity is evaluated; in forced convection, the peak Nu_total/ Nu_(no-rad) is 1.66 at ε=0 (reflective wall) and 2.04 at ε=1 (absorptive wall). The sensitivity to pipe diameter is also discussed. Overall, for a vertical heated tube, radiative heat transfer effects lead to enhancement of heat transfer by as high as a factor of two, and they depend on the optical thickness of the flow, mixed convection environment (Gr\/Re^2 and direction of flow relative to the gravitational force), surface emissivity, and entrance effects.
DOI: 10.6084/m9.figshare.25479529.v3
title: Data and code for manuscript "Temporal multilayer structures in discrete physical systems towards arbitrary-dimensional non-Abelian Aharonov-Bohm interferences"

description: Data and code for manuscript "Temporal multilayer structures in discrete physical systems towards arbitrary-dimensional non-Abelian Aharonov-Bohm interferences"Data and code are organized into folders for each figure
DOI: 10.17632/44nrn4593f
title: Comprehensive Lemon Leaf Disease Dataset for Advanced Detection and Sustainable Agriculture

description: The diseases of the lemon leaf are one of the major obstacles to its culture, leading to reduced yields and economic losses in agricultural areas like Bangladesh. The early detection and proper classification of these diseases will help in the efficient management of diseases and the protection of the crops. The manual detection of such diseases is laborious and hence might not be perfect; there is a dire need for automatic systems based on modern computer vision techniques.

In the backdrop of this context, we introduce a complete Lemon Leaf Disease Detection Dataset to support the development of models that will automatically detect diseases. We provide high-resolution images of healthy and diseased lemon leaves from various prevalent disease conditions in Bangladesh. Our dataset consists of a total of nine classes of images which include anthracnose, bacterial blight, citrus canker, curl virus, deficiency leaf, dry leaf, healthy leaf, sooty mould, and spider mites. These classes were prepared with the help of agricultural experts to make the labeling and classification accurate.

A total number of 1,354 raw images were captured manually from Melandaha, Jamalpur with the help of an agriculture expert from July to September 2024. The images were captured using an iPhone 14 Plus with a resolution of 800×800pixels to ensure quality visual data for training and evaluation. Further enhancement of the dataset was made by generating 9,000 augmented images using different augmentation techniques: flipping, rotation, zoom, shear, and brightness. This, in turn, makes the dataset even more diverse, which enhances the performance of deep learning models across different scenarios.

The Lemon Leaf Disease Detection Dataset will help researchers and practitioners develop and improve the performance of machine learning models for precision agriculture. A diversified and well-structured dataset like this is bound to help one construct an algorithm of high performance for early disease detection that could support sustainable agricultural practices in improving crop yield outcomes.

1. Original Dataset:
 Number of datasets: 1354
 Data format: .jpg

2. Augmented Dataset:
 Number of datasets: 9000
 Data format: .jpg
DOI: 10.6084/m9.figshare.1111869.v1
title: Dog, Coarse sand, Tenerife

description: Dog track made on the beach. Notes: The sediment collapse between the digits is interesting, especially if you consider how this might be interpreted from the fossil track record without knowing the track maker.
DOI: 10.17632/75v3sszkyw
title: Radioactivity in Manganese Nodules

description: The dataset contains specific activities of naturally occurring radionuclides in bulk and surface samples of deep-sea manganese nodules, and activity ratios of of selected nuclides. Polymetallic Nodules from the deep sea are currently being targeted for mineral exploration as they are a significant resource for various critical metals. In addition to accumulating such metals, nodules are also known to adsorb naturally occurring radioactive nuclides. With the possibility of exploitation of nodules becoming more likely within the next years, it is important to assess the potential radiation exposures resulting from the handling of polymetallic nodules. In this study we present, for the first time, specific activities of all dose-relevant alpha and gamma emitters from the natural decay chains of Uranium-238, Uranium-235 and Thorium-232, as well as the radon exhalation rate. The results show elevated specific activities for the nuclides Th-230, Ra 226, Pb-210 and Po-210 in accordance with prior reported activities. However, in contrast to assumptions made in previous studies, our analyses show that Pa-231 is not in equilibrium with its daughter nuclide Ac-227. The results presented here are a key ingredient to assess radiation exposure of humans from mining and processing polymetallic nodules.
DOI: 10.17632/rzf6whbmg6
title: Dataset for solving a hybrid flexibility strategy on personnel scheduling problem in the retail industry

description: This dataset is related with the Data in Brief article entitled: “Dataset for solving a hybrid flexibility strategy on personnel scheduling problem in the retail industry”, which was published in Data in Brief Journal. This data article describes datasets from a home improvement retail store located in Santiago, Chile. The datasets have been developed to simultaneously solve a staffing and tour scheduling problem that incorporates flexible contracts and multiskilled staff. In turn, this Data in Brief article is related to the published article "Hybrid flexibility strategy on personnel scheduling: Retail case study" (Porto et al., 2019). The datasets contain real, processed, and simulated data. Regarding the real and processed datasets, they are presented for three different store sizes (4, 5 or 6 departments). Real datasets include information about the employment-contract characteristics, cost parameters, and a forecast of the number of employees required in each department for each day of the week and each time period into which the operating day is divided. As regards to the data processed for the case study, they include the set of skill sets considering that the employees can be trained in a maximum of two store departments. Regarding the simulated datasets, they include information about the random parameter of staff demand in each store department. The simulated data are presented in 90 text files classified by: (i) Store size (4, 5 or 6 departments). (ii) Coefficient of variation (10, 20, 30%). (iii) Instance identification number (10 instances per scenario that resulted from combining the store sizes and coefficients of variation). Researchers can use the datasets for benchmarking the performance of different approaches with the one presented by Porto et al. (2019), and in consequence, they can find solutions to the same (or similar) type of personnel scheduling problem. The dataset includes an Excel workbook that can be used to randomly generate staff demand instances according to a chosen coefficient of variation.
DOI: 10.17632/3d4yftz66n
title: Methane pyrolysis products in a constant-volume reactor as a function of time

description: The data contains information about the methane decomposition products in a constant volume batch reactor as a function of time at high pressure. Methane pyrolysis was performed at 892 K, 1093 K and 1292 K and 399 kPa for a residence time ranging from 15-300 s. The high pressure data presented will be helpful in obtaining improved reaction kinetic models and develop optimized methane pyrolysis reactors.
DOI: 10.17632/pmtgvv59k4
title: Golden Droplets Episodes

description: Excel and other file sources for the Golden Droplets series