cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/nbbhy2yxmz.4
title: Grape Version 1

description: Documentation for the Grape V1, drawn from the Github at https://github.com/HamSCI/PSWS_Documentation/tree/master/Grape_Gen1_PSWS

Crowdsourced data collection among the international community of amateur radio operators and shortwave listeners has great potential for addressing problems of undersampling in the geospace system.
Quantitative Doppler measurements of high frequency (HF) time standard stations, used in bottomside ionospheric sensing, have been accomplished using existing radio hardware belonging to volunteers in distributed campaigns.
However, typical shortwave receivers cannot be put to ordinary use while these measurements are being taken, do not have standardized signal chains, and are generally too expensive to be purchased for the purpose of taking Doppler measurements alone. Here, we provide documentation for a low-cost intermediate frequency receiver, the Grape Version 1, which is designed specifically for measurements of North American time standard stations.
Grape receivers can be easily constructed and deployed by amateur scientists in order to gain a deeper understanding of variations in radio propagation in their local environment. When compared over long periods and across distributed networks of stations, the resulting data yield insights on greater spatial and time scales.  At the time of this writing, several of these receivers have been deployed across the United States and are currently collecting data. These receivers form the first iteration of the Personal Space Weather Station network.

See https://doi.org/10.1016/j.ohx.2022.e00289 for documentation, and https://doi.org/10.5194/essd-2022-303 for data. 
____________________________________________________

29 May 2023: Posted updated instructions, `MakeGrape1OSImageV1_03.pdf`, with explicit instructions on how to request a node number.

16 May 2022: Posted software update, v1.2, to support automated data upload. 

4 March 2022: Added hardware files for WWV Grape 1 Radio Ver 1.12, which has several significant improvements. See Grape v1.12.zip for most current hardware files. 
1 - Input protection improved; parts now easy to solder
2 - Part selection updated according to current availability
3 - Added a 4th frequency band (15 MHz) as a selection for the input filter
4 - Bandpass filters were adjusted to the current Grape 2 values

31 August 2023: Due to storage constraints, Grape Gen 1 OS software is now housed at Zenodo: See https://www.doi.org/10.5281/zenodo.8305995.
DOI: 10.17632/cx3byrjx7b.2
title: Building air quality and pandemic risk simulation

description: The original paper contains a high-level explanation of the dataset characteristics, and potential use cases of the dataset. ArchABM can help to quantify the impact of some of these building- and company policy-related measures. 

Baseline experiment

A baseline case with no measures and reduced ventilation is first studied. An schedule is set for each event type, along with their minimum and maximum duration, and the number of repetitions. The mask is not used anywhere. Meetings and the lunch activity are considered to be collective events. 

The places' capacity refers to the maximum number of people that can be present in that specified space. A low natural ventilation rate is established and there is no mechanical ventilation. 

Building-related experiments

- Larger building: each room's area (and thus each room's volume) is increased by 20%. This measure needs to take into account the increase in costs, which would mean an increase of almost 20% in the final construction costs as well
- Separate workspaces: the open office is divided into three identical offices, each one with 110 m2, 16 people (48/3), and a capacity of 20 (60/3).
- Better natural ventilation: windows are opened everywhere except in restrooms for better outdoor air supply. Natural ventilation rate is increased up to 5.
- Better mechanical ventilation: the flow rate of the AC system is incremented, assuming a 20% filter efficiency, a 10% of removal in ducts and no additional removal measures. Adding AC to the building would mean an increase of 14% in the building overall costs.

Policy-related experiments

- Shifts between workers: this would imply a reduction in the number of people present in each room. For this experiment, the population is reduced by 40%, resulting in 29 people in the open office, 4 in the IT Office, and 1 in each chief office, summing up to 36 people. This measure also entails a non-quantifiable cost to the company. 
    
- Limit duration of events: the duration of meetings is limited to a maximum of 30 minutes. The duration of coffee breaks would be limited to 5 minutes and lunch would be of 20 minutes.
    
- Use of masks: in this case, the mask use is mandatory and the mask efficiency is set to 0.75 in the offices and meeting rooms, to 0.5 in the restrooms, to 0.3 for coffee breaks and leaving it at 0 for lunch breaks, representing the absence of masks while eating.
DOI: 10.17632/352jpd593h.1
title: MAXIM: Metasurfaces-oriented electromagnetic wave simulation software with intuitive graphical user interfaces

description: We develop MAXIM which is electromagnetic wave simulation software based on rigorous coupled-wave analysis. The principal advantage of MAXIM is an intuitive graphical user interface drastically improving the accessibility of the software to who are not familiar with computer programming. Here, we present the basic formulation and computation methods that are incorporated in MAXIM. The computation performance is also evaluated for several didactic examples of dielectric metasurfaces which are the main application of MAXIM. The comparison of the calculation results with commercial software based on a finite-difference time-domain method confirms that the computation results of two programs coincide closely with each other within 1% difference. Considering the easy accessibility, wide availability and high reliability, MAXIM will serve the development of related research fields of metasurfaces and nanophotonics.
DOI: 10.17632/4w5bpppz2x
title: Facial_authentication

description: The facial dataset is captured from Gitam University ,Bengaluru Campus , Deep Learning Laboratory, The dataset is captured Realtime using OpenCV python . The Size of the datset is 112 × 92 .
DOI: 10.17632/97fk6csmxk.1
title: Data for: Evaluation of community pharmacists questioning and diagnostic skills and recommendation for a mystery shoppers minor illness

description: This data was collected by a female mystery shopper who visited 131 community pharmacies and spoke with pharmacists requesting for medication for stomach ache. The conversation between the mystery patient and the pharmacists. The pharmaceutical consultations were recorded and transcribed verbatim. The questioning skill of the pharmacists was evaluated using the WWHAM mnemonic and relevant questions deloped and approved by a six-member panel of experts comprising two general practice physician and four clinical pharmacy lecturers with community pharmacy practice experience. Demographic characteristic of the participants, number, and type of WWHAM questions/EPRQs asked, WWHAM and EPRQs scores, diagnoses of the mystery patients minor illness, the reason for diagnoses etc can be obtained from the data set.
DOI: 10.17632/37pys4vxt4.2
title: Nigerian innovation survey data

description: The pooled cross-sectional dataset contains 2643 observations including 51% manufacturing and 41% service firms.

* The dataset includes data from wave 1 (2005-2007), wave 2 (2008-2010), and wave 3 (2016-2018) of the Nigerian business innovation surveys. 
* The year variable identifies the different survey waves. Wave 1 was completed in 2008, wave 2 in 2011, and wave 3 in 2019. 
* The service variable sorts the observations broadly into manufacturing and services.
* The id variable identifies each unique firm. REPEATEDNESS WAS IGNORED BECAUSE REPEATED CASES ARE ONLY ABOUT 2.5%.
* As much as possible, variables have been matched across the three waves. 
* Due to coding changes and some inconsistencies in the survey instrument, a few variables could not be matched. 
* Any variable that could not be matched is retained in its original form. 
* Some of the variables have notes attached to them. The notes are consistent with what is in the accompanying codebook (Excel document).
* Item numbering on the questionnaire for the three waves is not consistent. Thus, rather than use question numbers for variable names as is commonly done, intuitive variable names and labels (defined in detail in the accompanying codebook) are used.
* Definitions of main concepts can be found in the accompanying codebook.
* It is strongly recommended that users thoroughly familiarize themselves with the accompanying codebook as well as the questionnaires for each of the waves before applying the dataset. This is crucial especially because of the skip patterns. While everything was done to ensure that the skip patterns were all correctly established, there can be no guarantee of perfection. 
* It is also strongly recommended that users be familiar with the nature of business innovation surveys as this will help in understanding how to treat the data for analysis. The Oslo Manual (third and fourth editions), which are freely available online, are very useful resources.

To have a feel of the sectoral distribution of the sample, type in Stata: tab service year
DOI: 10.17632/r49ybxt5j4.1
title: Global social media censorship

description: This dataset contains 360 major social media censorship incidents from 2006 to 2023 across 76 countries. Each incident includes the country of censorship, the censoring year, the country's political system, the platforms censored, and reasons for censorship. The censored platforms included in this dataset are Facebook, YouTube, WhatsApp, Instagram, TikTok, Telegram, Twitter, and Reddit. With pre-determined keywords, we searched the internet for pertinent data on censorship incidents, including scouring news sites (e.g., The New York Times), blogs (Google Blogoscoped), reports (e.g., Freedom House), Wikis for mentions, listings, and descriptions of censorship incidents, and internet monitoring watchdogs like Netblocks.
DOI: 10.17632/2mc6rrc5j3.2
title: COVIDome Datasets Version 2.0

description: There are three datasets in this entry: the COVIDOme Sample Metadata, the COVIDome SOMAscan dataset, and the COVIDome MSD Cytokine Dataset. These datasets were generated by the COVIDome Project at the University of Colorado Anschutz Medical Campus. To learn more about the COVIDome Project please visit covidome.org. This project aims to accelerate translational research in the field of COVID19 by generating and broadly sharing multi-omics datasets of research participants with and without COVID19. The Sample Metadata file describes sample ID, COVID19 status at the time of blood draw (positive or negative), sex and age. The SOMAscan dataset is a plasma proteomics dataset obtained from research participants with and without COVID19 using the SOMAscan® technology. The MSD cytokine dataset was generated using multiplex immunoassays with Meso Scale Discovery (MSD) technology.
DOI: 10.17632/nj727yktxf.1
title: Dataset for "Sexual Orientation and Gender-Identity (SOGI) Laws That Support and/or Limit International Development"

description: *Dataset Published in 2020, Deposited to DCD in 2024.

Abstract
The data was used in conducting research on Sexual Orientation and Gender-Identity (SOGI) Laws That Support and/or Limit International Development conducted by Thomas S. Serwatka.

A sexual orientation and gender identity legal index (SOGI-LI) was developed for 185 countries where data were available for 2018 [see Column C]. The author used data from the 11th and 13th editions of the International Lesbian, Gay, Bisexual, Trans and Intersexual Association’s State-Sponsored Homophobia Reports (Carroll 2016; Mendos 2019).

Using the data from ILGA, the initial version of the Sexual Orientation and Gender-Identity-Legal Index (SOGI-LI) was constructed. It was supplemented by information on transgender 2019 annual report LGBT rights by country (Wikipedia’s 2019 update) [See Column E]. Sub-scores are listed in columns M-S.

Democracy Index 2018 The Economist Intelligence Unit (2019) provides an indexed score on the democratic rule for 167 countries (See Column F) of which 151 were included in the current study on 185 nations. The Democracy Index scores could range from 0 to 10 points and were based on five subscales listed in columns U-Y.

World Happiness Report The World Happiness Report was first published in April 2012, with the support of the United Nations (Helliwell et al. 2019). The survey is administered to at least 1,000 and up to 3,000 participants from each of 150 countries across the globe. The single question survey asks respondents to rate their level of happiness over the past year:

Please imagine a ladder, with steps numbered from 0 at the bottom to 10 at the top. The top of the ladder represents the best possible life for you and the bottom of the ladder represents the worst possible life for you. On which step of the ladder would you say you personally feel you stand at this time? [National Scores in Column G]

Scores represent a three-year rolling average. In post-hoc analyses, the responses are found to strongly relate to GDP per-capita, social support systems, healthy life expectancy, freedom to make life choices. [Correlated data tracked in columns Z-AE]

Per-capita GDP Data on the 2018 per-capita GDP for 171 of the countries included in the study were downloaded from Knomea, which drew the data from The World Bank (2018) [Column H]

Educational Level Data on the educational levels for 138 of the 185 nations under study were drawn from the World Data Atlas (2017). These data are presented as the percentage of the adult population that had completed a tertiary (post-secondary) education program [Column I].
DOI: 10.17632/wzchzbm58p.1
title: Dropen

description: Dropen is a fully automatic drop image analysis software in order to study the wetting properties of the solid surfaces. It also includes the manual selection and fitting approaches. This software is developed in MATLAB using GUIDE. Regarding the identification of contact points two approaches are provided in Dropen: 1. Automatic: determines the left and right contact points automatically using a precise image processing code; 2. Manual: let the user to select the left and right contact points manually by pushing the “Manual selection” button. In the case of the wrong selection of contact points the software let the user to try two more times without a need to push the “Manual selection” button again. Regarding the contact angle measurement the software provides fully- automatic convolution mask method and also fitting with the circle and polynomial equations. So, the contact angle measurement panel includes: 1. Mask method: the fully-automatic contact angle measurement, 2. Fitting: includes: a. Circle b. Polynomial : user can change the polynomial order. Regarding our studies the optimum polynomial order for superhydrophilic droplets is two and for the rest of droplets is Three. So, it is recommended to do not change the polynomial order. After choosing the contact point identification and contact angle measurement methods, push the RUN button to find the results in Result panel. In addition the magnified images of the left and right contact areas are presented there. The drop contour line and the contact points have been shown with blue and red markers on the image, respectively. It is possible to save the contact angle data, as well as the left and right contact area images by pushing the corresponding push buttons. This software is developed in SEFILAB at Department of Materials science, University of Milano-Bicocca and is available at the UNIMIB repository (http://dx.doi.org/10.17632/wzchzbm58p.1). This repository will be updated by the new modified versions of the software.
DOI: 10.17632/2s9nt4fhy5.1
title: Data for: When information is not power: community-elected health facility committees and health facility performance indicators

description: Dataset for the paper, as well as do file for results (tables and figures)
DOI: 10.17632/pjxzbb82fk.1
title: Three-dimensional microbattery design via an automatic geometry generator and machine learning-based performance simulator. Miyamoto et al

description: Geometries, descriptors, and energies computed using continuum simulations, related to Figs. 4, 5, and 6.
DOI: 10.17632/yg7tyfw2t2.1
title: East Ziway DEM for: Morphological comparison of distributed volcanic fields in the Main Ethiopian Rift using high-resolution digital elevation models

description: Pleiades-derived digital elevation model of the East Ziway volcanic field, Main Ethiopian Rift. See manuscript for methodology.
DOI: 10.17632/ndb6t28xbk.2
title: Comprehensive Dataset of Annotated Rice Panicle Image from Bangladesh

description: This dataset focuses on drone-based rice panicle detection in Gazipur, Bangladesh, offering valuable visual data to researchers in agricultural studies. Captured using an advanced drone with a 4K resolution camera, the dataset comprises 2628 high-resolution images of rice fields and 6832 images after augmentation. All the images are annotated with precision to aid in automated rice panicle identification. Its main purpose is to support the development of algorithms and systems for critical agricultural tasks like crop monitoring and yield estimation, as well as disease identification and plant health evaluation.  The dataset's creation involved extracting frames from drone-recorded video footage and meticulously annotating them with manual and deep learning algorithms using a semi-automatic approach.
DOI: 10.15468/dl.fcya3g
title: Occurrence Download

description: A dataset containing 3414 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Potamotrygonidae",
 "HasCoordinate is true",
 "BasisOfRecord is Specimen",
 "Continent is South America"
 ]
}

 The dataset includes 3414 records from 59 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009191-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/27thrhhvxc.1
title: MACROECONOMICS OF COVID-19 PANDEMIC: A THEORETICAL PERSPECTIVE WITH REFERENCE TO INDIA

description: The pandemic caused by COVID-19 virus and the imposition of great lockdown has thrown the global economy off its feet by putting the trade and commercial in utter impasses. At this juncture, standard wisdom of macroeconomics envisages a massive disruption in supply as well as in demand. This paper seeks to examine the economic fallout of the pandemic in the light of demand-supply constrained macroeconomic equilibrium. It has been illustrated how imposition lockdown led to severe plummeting of aggregate demand with the emergence of poignant aversion to spending at spree in anticipation of future economic predicament. Beside this, investors also become pessimistic leading to investment turning relatively interest inelastic. Under the circumstances, though fiscal expansion to combat the crisis emerged as the linchpin the macro-economic policies, it becomes essential to investigate the efficacy of fiscal stimulus (backed by monetization of deficit) of the government on the real variables of the economy which is addressed in this paper. Besides, this study also reveals the potential risk of overshooting the inflation rate associated with this kind of fiscal stimulus.
DOI: 10.17632/p9pszhwtym.1
title: In silico BAM file for GRCh38

description: This is a BAM file of in silico generated sequencing reads from the reference genome for GRCh38.
DOI: 10.17632/ktfwtk6k3f.1
title: Tc1 transposase sequence alignment

description: Sequence alignment of transposases from 45 members of the Tc1 family, including 22 inactive TEs and 23 active TEs.
DOI: 10.17632/h65gdk4ptv.1
title: Gurmukhi dataset

description: This dataset comprises a meticulously augmented collection of Gurmukhi handwritten characters, designed to enhance the performance of machine learning models in optical character recognition (OCR) and related tasks. It includes characters across 41 distinct classes, each augmented to reach a total of approximately 290 samples per class.

Key Features:

Gurmukhi Script Focus: The dataset exclusively features handwritten characters from the Gurmukhi script, catering specifically to applications involving Punjabi language processing.
Diverse Augmentations: Images have been subjected to a range of transformations, including rotations, shifts, shears, zooms, and horizontal flips, promoting robustness to variations encountered in handwritten text.
Consistent Dimensions: All images are resized to a uniform 256x256 resolution, ensuring compatibility with most deep learning architectures.
Class-Specific Organization: Images are neatly organized into 41 folders, each representing a distinct Gurmukhi character, facilitating targeted training and evaluation.
Handwritten Data Collection: The original images used for augmentation were collected from 10 volunteers, introducing natural variability in writing styles and further enhancing the dataset's diversity.
Potential Use Cases:

Gurmukhi OCR: Train and evaluate OCR models specifically for Gurmukhi script recognition.
Handwriting Recognition: Develop models capable of recognizing and transcribing handwritten Gurmukhi text.
Script Style Analysis: Explore the variations in handwriting styles within the Gurmukhi script.
DOI: 10.17632/5tz79rtd39.1
title: Medicinal Leaf Dataseat

description: Indonesia is enriched and guarded with various plants. This plant is useful in many ways in the field of health such as medicinal formulations, the production of herbal products, and medicines to cure many diseases. The traditional Indian medicine system is widely accepted even to this day. India is a rich country to be a habitat for various medicinal plants. Many parts of the plant such as leaves, bark, roots, seeds, fruits, and many more are used as ingredients for the production of herbal remedies. Herbal remedies are preferred in developing and developed countries as an alternative medicine mainly because there are no side effects on the body. Studies reveal that to build intelligent systems for medicinal herb recognition requires a decent plant leaf dataset size. The dataset consists of two species of herbal leaves such as Citrus hystrix and Carica papaya. The dataset consists of 100 images of two species of herbal leaves. Each species consists of 50 high-quality images. Folders are named after scientific names. The picked leaves come from different plants of the same species available around the house. Healthy and mature leaves are selected for the dataset. The tools used are mobile cameras (Model: Asus Zenfone M2 Max for Carica Papaya and iphone Xr for Citrus hystrix). The leaf images in the dataset are arranged in such a fitting position to take pictures clearly in training each machine learning and deep learning model.  By releasing this dataset to the public, we hope to stimulate research on medicinal plants where the current lack of public datasets is one of the major obstacles to progress.
DOI: 10.17632/r8dxd78xpk.1
title: Degradation control in closed-loop system

description: Degradation data simulated from the rolling mill model. 
Data are recorded from the system controlled using the LQ controller and MP controller. 
There are output files, which include records from the five states of the system and two inputs (piston position, piston speed, primary pressure, secondary pressure, valve position, input force and input voltage to the valve).
There are health files, which include the health associated with each of the recordings.
There are lifetime files that in row 10 includes the number of cycles that each time machine has worked until it went through maintenance.
The inputs are considered to be the same (step response) for all simulations)
The output file is the absolutevalue of the maximum of the signal recorded once for each cycle.