cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v2ykbtkdg7.1
title: MMQR analysis revealing the role of renewable energy consumption and business climate in reducing CO2 emissions

description: MMQR analysis revealing the role of renewable energy consumption and business climate in reducing CO2 emissions
DOI: 10.17632/r53vh3tdmg.1
title: A bacterial phospholipid phosphatase inhibits host pyroptosis by hijacking ubiquitin

description: Unprocessed immunoblots, unmerged confocal images, and source data for Chai et al., Science 378, eabq0132 (2022).
DOI: 10.17632/bbmmm4wgr8.4
title: NDB-UFES: An oral cancer and leukoplakia dataset composed of histopathological images and patient data

description: The dataset collected contains histopathological images of oral squamous cell carcinoma and leukoplakia (represented by samples with and without epithelial dysplasia). It also contains sociodemographic data (gender, age, and skin color) as well as clinical data (tobacco use, alcohol consumption, sun exposure, fundamental lesion, type of biopsy, lesion color, lesion surface, and lesion diagnosis). A supplementary dataset consisting of patches of the captured histopathological images is also provided. The data were collected between 2010 and 2021 in patients managed at the Oral Diagnosis project (NDB) of the Federal University of Espírito Santo (UFES), Brazil.
DOI: 10.17632/nmgz9kp8t8.1
title: Data for: An agent-based model shows zombie ants turn frequently before death

description: Zombie ants are ants manipulated by a fungal parasite (Ophiocordyceps sp.) to leave the nest and die biting the underside of a leaf. From there, the fungus grows from the ant and distributes spores to new ants. The model recreates how infected ants are walking from the nest to the biting locations. By altering the movement parameters of the ants, we investigate how walking style influences whether ants frequently end up on the biting locations. The model uses field data to inform the model setup, using 4 different nests with the real locations of the ant nest, foraging trails, and cadaver biting locations.
DOI: 10.17632/rwdyzx5nb2.1
title: Robots, tasks, and trade - replication package

description: Detailed replication package for the paper "Robots, tasks, and trade", accepted for publication at the Journal of International Economics.
DOI: 10.17632/c5dxwn6w92.1
title: Data for: A data-driven coulomb counting method for state of charge calibration and estimation of lithium-ion battery

description: Lithium-ion battery cycling experiment
DOI: 10.17632/58mfpfxksk.1
title: FOOD PRODUCTS INGREDIENT DATASET

description: Ingredients are the building blocks of packaged food product that enables a product to have texture, flavor, and nutritional information as well. The companies dealing with these products add some ingredients in the form of artificial flavor enhancers, color, and sweeteners to enhance the flavor and appearance of a product. Artificial additives may have health implications as the consumers are not very much aware of the products that are being used therefore it is a complex task for a common person to figure out manually that the product based on its ingredients is good for health. Complex tasks are very efficiently performed in the field of artificial intelligence and machine learning as they are trained for solving complex mathematical problems. With the availability of an appropriate dataset, machine learning can easily solve complex tasks using statistical techniques by model built on available dataset. To achieve the objective, the ingredients dataset has generated by extracting text from images containing ingredient lists of different ready-to-eat food products. In the dataset, several images of different lines of food products have been acquired to create a harmonized dataset. The dataset contains the list of ingredients named with 7 categories and corresponding attributes with appropriate labeling. The dataset will be very useful for training and testing machine learning models for food product classification through their ingredients.
DOI: 10.17632/bkz8c3js49.1
title: Sequence alignment analysis on human Dicer

description: This data includes three Figures that are showing the sequence alignment analysis on human Dicer. Figure one: (A) Analysis of the DUF283 domain within human Dicer. Primary sequence alignment analysis of the DUF283 domain was performed based on Arabidopsis DUF283. Secondary structure prediction of hDicer DUF283 domain was also shown as indicated. (B) Sequence alignment of different RNase III domains was performed, based on the structure of Aquifex RNase III. All RNase III domains are mainly made of 9 a-helices as indicated. Red triangles mark the highly conserved amino acids in all the RNase III domains responsible for binding magnesium ions. Blue triangles indicate the residues responsible for dimerization. Figure two: Conservation of hDicer DExD/H-box helicase domain with its homologues. Sequence alignment among the helicase domains of RLH family members. Figure three: Conservation of Dicer’s DExD/H-box helicase domains among different species. Sequence alignment of DExD/H-box helicase domains from human, mouse, zebrafish, chicken, Arabidopsis and Drosophila.
DOI: 10.15468/dl.hx5nyc
title: Occurrence Download

description: A dataset containing 580 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pinus aristata Engelm.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 580 records from 64 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009186-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/b8x99pprgn.1
title: FACTORS INFLUENCING ONLINE SHOPPING BEHAVIOUR OF CUSTOMERS IN THE APPAREL VERTICAL: A STUDY IN WEST BENGAL

description: Knowledge in the area of online apparel shopping, vis-a-vis other product categories, remains sporadic and fragmented; and provides a fertile ground for the ongoing research. While the initial works resulted in the development of a holistic model, there are still limitations in understanding this experience in the Indian context, and
more specifically in the state of West Bengal. Therefore, the present paper provides deeper insights to identify the major factors influencing online shopping behaviour towards apparels, in the state of West Bengal. The outcomes of the study are manifold. Quality and Brand Image, Website Effectiveness, Intention to Buy, Impulse Purchase,
Fashion Consciousness and Price Sensitivity, have been enumerated as the broad factors, influencing the adoption of online apparel shopping in the state of West Bengal. The current paper is timely and advantageous, as it offers deeper insights into a range of consumer behaviour dimensions, with regard to online apparel shopping. The results of the study may be of interest to academicians, management practitioners, retailers and policymakers.
DOI: 10.17632/xg7m6mw2mw.1
title: The exposure hypothesis vs the adaptation hypothesis of gambling

description: The dataset is about some key gambling indicators of residents in Macao Special Administrative Region of China for the study of the exposure hypothesis of gambling vs. the adaptation hypothesis of gambling. It was collected through a questionnaire survey conducted between May 2018 and October 2019 both online and offline. Findings are that neither hypothesis is sufficiently realistic per se. Instead, both take turns to prevail over the gambling experience of gamblers. Some key indicators’ mapping to the data file headings is as follows:
Timespastyear = the frequency of casino visits in the previous year for the sake of gambling (FREQ)
PastYBudgeteachtime = the average gambling budget per casino visit in the previous year (BDGT)
PastYofSalary = the average monthly gambling expenditure in the previous year as a proportion of the monthly income then (EXIC)
FirstTYear = the first year to start gambling at casinos
DOI: 10.17632/938kstn94w.1
title: Replication of Research Paper: "Anatomy of Wage Rigidity in China: Lessons from the Global Financial Crisis for Post-pandemic Recovery"

description: The dataset and accompanying codes provided here are crucial for replicating the findings outlined in the upcoming paper titled "Anatomy of Wage Rigidity in China: Lessons from the Global Financial Crisis for Post-pandemic Recovery," which is set to be published in the Journal of Economic Modelling. 

Data Set Information:
Survey Name: Survey of Firms’ Operating Environment and Access to Finance during the Global Financial Crisis
Conducted By: People’s Bank of China
Duration Covered: Second half of 2007 to first half of 2009
Purpose: To assess the impact of the Global Financial Crisis (GFC) on Chinese firms and evaluate the effectiveness of governmental policies in mitigating challenges faced by these firms.

Replication Details:
An independent observer can confirm research conclusions by accessing the data and codes located in the provided DOI link to the Mendeley repository.
For complete transparency, the computational codes will be made available alongside a portion of the data that can be disclosed publicly. Interested parties seeking access to the remaining private dataset can request it from the People’s Bank of China.

We acknowledge that while part of this dataset originates from a private source, we have adhered to the guidelines to ensure reproducibility of our research outcomes.

Thank you for considering our submission for replication purposes.
DOI: 10.17632/s4866r6v28.1
title: Data for abyssal peridotite drill core samples from ODP Leg 153 and 209

description: This dataset includes new data for drill core samples from Ocean Drilling Program (ODP) Leg 153 and 209 in the mid-Atlantic ridge. Reported data include whole-rock major-, trace-, and highly siderophile elements abundances, as well as Os isotope data. Data are provided along with compiled literature data, and measured blanks and standards during sample analysis.
DOI: 10.17632/t5nb6g859m.1
title: Happiness among Elderly Malaysia

description: Emotional And Instrumental Social Support As Determinants Of Happiness : A Cross-Sectional Study Of Malaysian Elderly
DOI: 10.17632/53vtnjy6c6.1
title: Multi-domain vibration dataset with various bearing types under compound machine fault scenarios: subset 1 (deep groove ball bearing)

description: Note: Due to the data storage limitation, our dataset is divided into three subsets for each bearing type. This subset includes the data collected from the deep groove ball bearing (MOCHU 6204).

This dataset provides vibration data collected under various fault conditions, including compound faults, and multiple domain environments. The faults include three single-bearing faults, seven single rotating component faults, and 21 compound faults. The domain configurations are categorized into the rotating speed, bearing type, and sampling rate. The data were collected for 160 seconds at an 8 kHz sampling rate and 80 seconds at a 16 kHz sampling rate, resulting in a uniform sample length of 1,280,000 for each raw vibration signal.

The data files are organized in a hierarchical directory structure. The top-level directories are based on the sampling rate (8 kHz and 16 kHz). Each sampling rate directory has subdirectories for six rotating speeds (600, 800, 1,000, 1,200, 1,400, and 1,600 RPM). Each rotating speed subdirectory contains 32 files collected under different fault conditions.

Data samples are stored in binary MATLAB (MAT) file. The naming convention of each file follows the format comprising five properties: {rotating component condition}_{bearing condition}_{sampling rate}_{bearing model}_{rotating speed}.mat.

The fault conditions are denoted by one capital letter, and unbalance and misalignment faults include three severity levels, where a higher number indicates that a more significant fault occurs. Available values of each property in the file name are as follows:
1. Rotating component condition
- ‘H’: healthy (no severity level)
- ‘M’: misalignment (severity level 1-3)
- ‘U’: unbalance (severity level 1-3)
- ‘L’: looseness (no severity level)
2. Bearing condition
- ‘H’: healthy
- ‘B’: ball fault
- ‘IR’: inner race fault
- ‘OR’: outer race fault
3. Sampling rate
- ‘8’: 8 kHz
- ‘16’: 16 kHz
4. Bearing model
- ‘6204’: bearing model for H, B, IR, and OR conditions
5. Rotating speed
- ‘600’, ‘800’, ‘1000’, ‘1200’, ‘1400’, or ‘1600’: numbers represent RPM.

The data are available in two formats: 1-D raw vibration signal and 2-D spectrogram. These time and time-frequency domain data are stored in separate fields of a MAT file. Data fields in each MAT file are as follows:
1. ‘Data’: raw vibration signal (unit: g [9.80665 m/s2]).
2. ‘Spectrogram’: spectrograms (unit: dB scale magnitude).
3. ‘STFTFreq’: frequency instant vector of the spectrogram (unit: Hz).
4. ‘STFTTime’: time instant vector of the spectrogram (unit: seconds).

For each data file, 78 spectrograms with a size of 128 x 128 were generated by the short-time Fourier transform (STFT) method with the Kaiser window function. In doing so, raw vibration data were sliced into 16,384-length segments without overlapping. Each segment was then converted to a spectrogram with a window size of 192, an FFT size of 256, and an overlap size of 65.
DOI: 10.17632/bmjc74dyjs.1
title: Remdesivir, Molnupiravir and Nirmatrelvir remain active against  SARS-CoV-2 Omicron and other variants of concern

description: Activity of various antivirals upon infection of VeroE6-GFP cells with different SARS-CoV-2 VOC. VeroE6-GFP cells were pre-treated overnight with serial dilutions of the compounds. The next day, cells were infected with SARS-CoV-2 at a multiplicity of infection (MOI) of 0.001 tissue culture infectious dose (TCID50) per cell. The number of fluorescent pixels of GFP signal, determined by high-content imaging on day 4 post-infection, was used as read-out. The percentage of inhibition was calculated by subtracting background (number of fluorescent pixels in the untreated infected control wells) and normalizing to the untreated-uninfected control wells (also background subtracted). The 50% effective concentration (EC50, the concentration of compound required for fifty percent recovery of cell-induced fluorescence) was determined using logarithmic interpolation. These experiments were performed in the presence of the Pgp-inhibitor CP-100356 (0.5 µM) in order to limit compound efflux.
DOI: 10.17632/yhg5wk39kf.1
title: Ransomware and user samples for training and validating ML models

description: Ransomware is considered as a significant threat for most enterprises since past few years. In scenarios wherein users can access all files on a shared server, one infected host is capable of locking the access to all shared files. In the article related to this repository, we detect ransomware infection based on file-sharing traffic analysis, even in the case of encrypted traffic. We compare three machine learning models and choose the best for validation. We train and test the detection model using more than 70 ransomware binaries from 26 different families and more than 2500 h of ‘not infected’ traffic from real users. The results reveal that the proposed tool can detect all ransomware binaries, including those not used in the training phase (zero-days). This paper provides a validation of the algorithm by studying the false positive rate and the amount of information from user files that the ransomware could encrypt before being detected. This dataset directory contains the 'infected' and 'not infected' samples and the models used for each T configuration, each one in a separated folder. Each folder (for example 10s/) contains 8 files: - tree.py -&gt; Python script with the Tree model. - ensemble.json -&gt; JSON file with the information about the Ensemble model. - NN_XhiddenLayer.json -&gt; JSON file with the information about the NN model with X hidden layers (1, 2 or 3). - train_data.csv -&gt; All samples used for training each model in this folder. It is in csv format for using in bigML application. - zeroDays.csv -&gt; All zero-day samples used for testing each model in this folder. It is in csv format for using in bigML application. - FPtest_data -&gt; All samples used for validating each model in this folder. It is in csv format for using in bigML application. The six models present in each folder are the configuration reached training it with the train_data.csv file. The validation and the measurement of the data lost have been done with the FPtest_data.csv and the zeroDays.csv files respectively. The files containing samples (train_data.csv, zeroDays.csv and FPtest_data.csv) are structured as follows: - Each line is one sample. - Each sample has 3*T features and the label (1 if it is 'infected' sample and 0 if it is not). - The features are separated by ',' because it is a csv file. - The last column is the label of the sample.
DOI: 10.17632/zbdxd37cgb.1
title: Ni-Zn Ferrites

description: Raw data for the internal Project 2016210 "Preparation and characterization of magnetic nanoparticles based in ferrites"--&gt; UAN-UdeA.
DOI: 10.17632/5j852hzfjs.1
title: Labeled frog-call dataset of Yasuní National Park for training Machine Learning algorithms

description: Labeled dataset of frog calls recorded at Yasuní National Park using directional and omni-directional microphones. We trained a Bayesian classifier with Gaussian Mixture Models and applied it to study the audio in Unidentified Long Recordings. The results of the analysis are in the related article. We showed that the application of a frog-call recognition algorithm allows the estimation of presence-absence of the trained subset of species in real-world recordings of an actual amphibian monitoring made in the wild.
DOI: 10.17632/zw4rx7p8rn.4
title: Updated Supplementary files for JAAD psoriasis smartphone app study

description: Supplementary files for JAAD research letter entitled: "Effect of a disease monitoring smartphone application in combination with a patient educational program on mental health of psoriasis patients: a randomized intervention study"; updated after major revision
DOI: 10.6084/m9.figshare.27934695
title: foreign fibres detection

description: foreign fibres
DOI: 10.6084/m9.figshare.27934695.v1
title: foreign fibres detection

description: foreign fibres
DOI: 10.17632/pxbr7jhtsy.1
title: Watershed-scale Soil Quality Assessment

description: A dataset of soil quality assessment
DOI: 10.17632/wgsycmpcjn.3
title: Glutamine Synthetase Promotes Radiation Resistance via Facilitating Nucleotide Metabolism and Subsequent DNA Damage Repair

description: RNA sequencing and metabonomics data
DOI: 10.17632/xncmdh494n.1
title: Data for: Attachment styles in dogs and their relationship with separation-related disorder – a questionnaire based clustering

description: Raw questionnaire data, component scores and cluster memberships
DOI: 10.17632/2855352z4s.1
title: Letter to Parliamentarians: Lalchand Malhi

description: Honorable Lal Chand Malhi Member National Assembly Federal Parliamentary Affairs Secretary for Human Rights We hope that this letter finds you in good spirits. We, members of different Scheduled castes communities would like to bring to your attention the current sociopolitical turmoil within our Scheduled caste communities created by the institutional and constitutional neglect of Scheduled castes in Pakistan. Honorable Sir, due to the non-representation of Scheduled castes in legislative assemblies, and the indoctrination of minority narrative, the rights of marginalized subaltern communities within minorities are being constantly usurped by the upper caste elite within Hindus and Christian communities. Historical oppression of Scheduled caste communities was socio-economically surveyed before partition and the representation in legislative assemblies and job quotas was duly specified for them under the Government of India Act, 1935. Government of Pakistan continued to recognize Scheduled castes as socioeconomically marginalized class but failed to take any concrete measures to diffuse socioeconomic disparities or conduct any socioeconomic survey to specially assess the plight of Scheduled castes in Pakistan. Extreme marginalization and caste discrimination coupled with bad governance could not enable Scheduled castes to break free the chains of oppression and discrimination with the result that Scheduled castes continue to be the worst victims of human rights abuses and socioeconomic exploitation particularly in Sindh and Southern Punjab. [Further read in the attached file.....]
DOI: 10.17632/hr5h2hcgg4.17
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). Polygon borders delimiting species ranges are generalized across the mainland and sea boundaries. This offers the possibility to mask sea areas or to clip and extract the terrestrial range parts using GIS data layers of the users' choice. An additional version of polygon ranges are clipped with a coastline (name suffix “clip”), which have been derived from Natural Earth dataset "Admin 0 - Countries" 1:50M version 4.1.0 (https://www.naturalearthdata.com). Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/mxjj6czsrd.1
title: Genome-wide association studies and Mendelian randomization analyses for leisure sedentary behaviours - Supplementary Data Files

description: Supplementary data files related to the article "Genome-wide association studies and Mendelian randomization analyses for leisure sedentary behaviours" by van de Vegte et al.
DOI: 10.17632/y49xsthxcr.1
title: NIH funded studies of pediatric

description: We formatted and analyzed all NIH funded registered studies of pediatric patients. We applied standardization and normalization methods using Elsevier’s Merged Medical Taxonomy terms and the corresponding ICD 10 codes, EMBASE taxonomy and natural language processing methods. We performed systemic appraisal of completed studies according to treatment allocation, masking of treatment status, early termination, and exclusion enrolled subjects from the analyses. We calculated treatment effect for all posted hypotheses and provided the interpretation of treatment effects according to statistical significance, direction, and magnitude of benefits and harms.