cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kc4h4mh8n7.1
title: Impact assessment of single dose rifampicin post-exposure prophylaxis

description: Background/Introduction

Leprosy control remains a challenge in Nepal. Single-dose rifampicin post-exposure prophylaxis (SDR-PEP) shows promise in reducing leprosy incidence among contacts of index cases, contributing to reducing the transmission of Mycobacterium (M.) leprae. This study evaluates the effectiveness of routine SDR-PEP implementation in Nepal in addition to contact screening, focusing on its impact on reducing leprosy risk among contacts and potential population-level effects.
Methodology

We conducted a retrospective cohort study to compare leprosy case notification rates and leprosy risk among close contacts. We compared two districts implementing SDR-PEP (the intervention group) and two without (the comparator group). Data from 2015 onwards included demographics, index case types, and contact relationships. Statistical analyses, including Cox regression and Kaplan-Meier survival curves, assessed the impact of SDR-PEP implementation.

Findings

All four districts showed a decrease in case notification rates since 2015, with the steepest decline in the intervention districts. The risk of developing leprosy among contacts was significantly lower in the intervention districts (HR 0.28, 95% CI 0.18-0.44). SDR-PEP offered 72% protection, consistent over time, as shown in Kaplan-Meier plots. The protective effect was equally strong in blood-related contacts (HR 0.29 versus 0.27 in others, p=0.32), and the proportion of MB cases among incident cases was not significantly different post-PEP (51.4% vs. 53.6%, p=0.82).

Conclusions

This study demonstrates the substantial protective effect of integrating SDR-PEP in routine leprosy control programs with contact screening, significantly lowering leprosy risk among contacts. SDR-PEP is equally effective for blood-related contacts and does not preferentially prevent PB cases. While suggesting potential population-level impact, the study design does not allow for firm conclusions at this level. Further research is needed to fully assess SDR-PEP's effectiveness in diverse contexts and optimize its implementation. Integrating SDR-PEP within well-organized contact screening programs is effective and is expected to reduce leprosy transmission when applied as a rolling intervention.

Keywords: Routine leprosy Control, Single-dose rifampicin (SDR), Post-exposure Prophylaxis (PEP), SDR-PEP Implementation, Contact Screening,
DOI: 10.17632/vfbxx66xs6.1
title: Data for: Phylogenetics of moth-like butterflies (Papilionoidea: Hedylidae) based on a new 13-locus target capture probe set
DOI: 10.15468/dl.du27tn
title: Occurrence Download

description: A dataset containing 2753 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prosopis glandulosa Torr.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 2753 records from 128 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009299-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/v2s5wn252v.1
title: Dataset for: Growing industrialization and poor conservation planning challenge natural resources’ management in the Amazon shelf off Brazil

description: Araujo et al. (2021), based on an extensive compilation of primary and secondary data, assessed the distribution of benthic habitats and spatial extent of the economic activities in Brazil’s Amazon Shelf. The present dataset was developed to support this manuscript providing geospatial data (vector and raster) in geographic latitude/longitude coordinate system (World Geodetic System; datum: WGS84), that included data about: (1) Bathymetry - main bathymetry isobaths; (2) Biodiversity Fauna - species occurrence records of sea turtles, marine mammals, marine and shore birds, and fishery resources; (3) Biodiversity Megahabitats - distribution of the main benthic megahabitats, mangrove and shoreline types; (4) Fisheries Activities - artisanal and industrial fishing; (5) Human Population - density population; (6) Infrastructure - seaports, waterway, railway, airports and marine traffic; (7) Mining Activities - mining blocks of Pará and Maranhão basins; (8) Oil & Gas Activities - drilling wells, sedimentary Basins and blocks (offered, returned, under concession); (9) Protected Areas - Protected Areas, Coastal and Marine Protected Areas (CMPA) and Priority Areas for Biodiversity Conservation, including Planned CMPA; (10) River Plume - Amazon River plume distribution. Additionally, the dataset includes two excel files, one with information about data sources and processing and another with the biodiversity database.
DOI: 10.17632/fxjm8fb6mw.2
title: Knee X-ray Osteoporosis Database

description: Osteoporosis is the leading pathological disorder of bones after arthritis affecting millions of people worldwide. The diagnosis of osteoporosis is done by Dual Energy X-ray Absorptiometry (DXA), although it gives good results but its cost is very high and is not readily available and the treatment cost of osteoporosis is also very high so there is a need for some cost-effective and easily available detection system. The researchers are in continuous search of finding new ways of detecting osteoporosis at early stages with less cost and in less time. The researchers mostly use their build in datasets instead of publically available datasets that make the study limited to particular regions and particular populations. To make a detection system, that is accepted worldwide and used as an alternative pre-screening tool there is a need to make the research data-centric which implies researchers from different areas of research and different countries should work on some particular datasets and find a common solution. Inspired by this scenario, we have presented the database for the detection of osteoporosis in this article. The database consists of clinical factors like age, gender, menopause age, other diseases like diabetes, thryroidism, fracture history, lifestyle factors, etc responsible for osteoporosis with the T-score values obtained from the Quantitative Ultrasound System and Knee X-ray for each participant. The main objective of this dataset is to make the research of finding the cost-effective, timely, and accurate osteoporotic detection system data-centric.
DOI: 10.17632/xwxgjy9sz8.1
title: Shaking Table Experiment Dataset on Different Water Level Cases of Multiple Tuned Liquid Damper

description: This paper provided dataset and information of shaking table test of 2 story steel structure model (80x80x60 cm) attached with 4 water tanks (30x30x30 cm) at the top of it acting as a passive tuned liquid damper. Tuned liquid damper is a container filled with water. Water sloshing inside the container during excitation is the principle of reducing the structure vibration. There were 4 cases of water level considered (empty water tanks, ¼-filled water tanks, half-filled water tanks and ¾-filled water tanks). The structure response such as displacement and acceleration were observed and recorded. The data collected from this shaking table test will be used for validation of numerical analysis that will expend the simulation process to find whether the position of water tanks as passive tuned liquid damper will affect the structure response other than water level.
DOI: 10.17632/xzpm4wgc8c.1
title: A Study of Lactylation-driven METTL3-mediated RNA m6A modification promotes immunosuppression of tumor-infiltrating myeloid cells. Jia Xiong et al

description: [Unprocessed images of blots and gels, a single  PDF is deposited as long as it is clear which figure and panel they correspond to]
Tumor-infiltrating myeloid cells (TIMs) are crucial cell populations involved in tumor immune escape, and their immunosuppressive functions are regulated by multiple epigenetic mechanisms. The precise regulation mode of RNA N6-methyladenosine (m6A) modification in controlling TIMs function is still poorly understood. Our study revealed that increased expression of RNA methyltransferase methyltransferase-like 3 (METTL3) in TIMs was correlated with the poor prognosis of colon cancer patients and myeloid deficiency of METTL3 attenuated the tumor growth in mice. METTL3 mediates m6A modification of phosphokinase janus kinase 1 (Jak1) mRNA in TIMs and m6A-YTH N6-methyladenosine RNA-binding protein 1 (YTHDF1) axis enhances JAK1 protein translation efficiency in polysomes, which significantly contributes to the enhanced phosphorylation of the signal transducer and activator of transcription 3 (STAT3). Lactate accumulated in the tumor microenvironment is a key factor that induces the upregulation of METTL3 expression in TIMs via the form of histone H3K18 lactylation. Very interestingly, we also identified two lactylation modification sites in the Cys-Cys-Cys-His (CCCH) zinc finger domain of METTL3 and this type of lysine lactylation is essential for the target recognition domain of METTL3 to capture target RNA. Our results emphasize the importance of lactylation-driven METTL3-mediated RNA m6A modification for regulating the function of TIMs and provide new insights for the discovery of potential targets for cancer immunotherapy.
DOI: 10.17632/mcgymdzs53.1
title: Data for: Fiscal policy shocks and stock prices in the United States.

description: The Cholesky VAR model for government spending is stored in VAR_GS\estimate.m (full sample and sub-sample) The Proxy VAR model for tax is stored in VAR_tax\estimate_var.m (full sample). Subsample estimates in Estimate_var_subsample1.m the code for the FAVAR models is in FAVAR_GS and FAVAR_tax respectively
DOI: 10.17632/hfbn2rpvr7.1
title: Discrimination towards the Visually Impaired and Quota Policies in the Labor Market

description: We measure discrimination in access to employment towards people with visual impairment in France and explore its relationship with two public policies designed to facilitate the integration of disabled people into the workforce: the obligation on the employer to adapt the workstation, and a quota policy intended to incentivize the hiring of people with disabilities. We use the correspondence test method in combination with a difference-in-differences strategy, to explore the effects of these different policies. We show that applicants with visual impairments face significant discrimination, and we suggest that the level of discrimination is influenced by both policies.
DOI: 10.17632/2jpg54nvsc.4
title: Data for : Mantle and recycled oceanic crustal components in mantle xenoliths from northeastern China and their mantle sources (2019JB018232)

description: Geochemical data for mantle xenoliths hosted by Cenozoic basalts in northeastern China. The data include mineral and rock chemistry, in situ isotopic compositions of Sr in clinopyroxene and O in olivine.
DOI: 10.17632/bh6p4rk5j9.1
title: Supplementary Data File for "A Randomized, Double-blind, Phase III Study Assessing Clinical Similarity of SB17 (Proposed Ustekinumab Biosimilar) to Reference Ustekinumab in Subjects with Moderate to Severe Plaque Psoriasis"

description: Supplementary Materials for the Paper "A Randomized, Double-blind, Phase III Study Assessing Clinical Similarity of SB17 (Proposed Ustekinumab Biosimilar) to Reference Ustekinumab in Subjects with Moderate to Severe Plaque Psoriasis" that is published in the Journal of the American Academy of Dermatology (JAAD).
DOI: 10.17632/fj5pbdf95t.1
title: SPAMID-PAIR

description: Data post-comment pairs were collected from 13 selected Indonesian public figures (artists) / public accounts with more than 15 million followers and categorized as famous artists. It was collected from Instagram using an online tool and Selenium. Two persons labeled all pair data as an expert in a total of 72874 data. The data contains Unicode text (UTF-8) and emojis scrapped in posts and comments without account profile information.

It contains several fields:
-igid: Account ID,
-comment: Comment of a post,
-post: Post from an ID,
-emoji: Whether the data contains emojis or not (1 or 0),
-spam: Whether the data is spam or not (1 or 0),
-lengthcomment: The character length of the comment,
-lengthpost: The character length of the post,
-countemojicomment: Number of emoji symbol characters in comments,
-countemojicommentuniq: Number of emoji symbol characters in comments (unique),
-countemojipost: Number of emoji symbol characters in posts,
-countemojipostuniq: Number of emoji symbol characters in the post (unique)
DOI: 10.17632/xbphjxbk9p.1
title: Dataset on the questionnaire-based survey of the Perceived risk scale of COVID-19 infection and Contact lens (CL) wearers.

description: The data set presents data collected by an online questionnaire, applying closed-ended question types (multiple-choice, Likert scale ) and Question Skip Logic. The questionnaire was designed to collect accurate and representative quantitative data. The steps followed to collect and manage data were, the definition of the objectives of the study, questionnaire design, questionnaire pilot testing (validity, reliability, repeatability), data administration and results interpretation. This descriptive survey employed online data collection using an anonymized web-based questionnaire hosted on “SurveyMonkey” Europe, Dublin, Ireland. The questionnaire was developed by the authors and further reviewed by a group of contact lens (CL) wearers to make a certain understanding and manage the questions with the required time to complete it. The questionnaire was made available via an online link on social networks from 28/09/2020 to 11/10/2020. The survey included 1676 participants, 1037 were CL users and completed the online questionnaire. Of them, 76.7% (795) are female and 23.3% (242) male. The questionnaire was organized into general demographic information (age, gender, education level and geographical area of habitation), basic questions related to CL history (i.e. type and modality of CL, wearing time per day or contact lens experience), the perceived risk of infection due to CL wear during the pandemic and CL wear or limited use during the pandemic, with a total of 22 questions and maximum completion time 4 minutes. All data were exported to Excel spreadsheets (Microsoft Excel, Microsoft Corporation, Redmont, WA, USA). Only the completed questionnaires were used in the analyses. Data were analyzed using the Statistical Package for Social Sciences (SPSS) software version24 (International Business Machine Corp. IBM, Chicago, IL, USA). The data can be used to understand the relationship between the perceived risk scale of Covid-19 infection and contact lens (CL), the potential effect of the pandemic in the consuming behavior of CL wearers, to draft a survey strategy and design, to verify results, etc. Value of the Data • The data can be used to analyse, describe and understand the contact lens users profile. More specific to record, consuming behaviour, adaptation, perception scale of infection under unusual conditions (for example Covid-19 pandemic) e.tc • The data set concern and can be utilized by researchers and scientists in the fields of public health, public economy and marketing. • The data can be used in further research in different countries and regions, draft a survey strategy and design, compare and verify results, record and predict significant or not correlations • The questionnaire can be used with the same structure or in variations as a useful data collection tool for similar research in different scientific fields.
DOI: 10.17632/5pmnkshffm.3
title: Network traffic and code for machine learning classification

description: The dataset is a set of network traffic traces in pcap/csv format captured from a single user. The traffic is classified in 5 different activities (Video, Bulk, Idle, Web, and Interactive) and the label is shown in the filename. There is also a file (mapping.csv) with the mapping of the host's IP address, the csv/pcap filename and the activity label. Activities: Interactive: applications that perform real-time interactions in order to provide a suitable user experience, such as editing a file in google docs and remote CLI's sessions by SSH. Bulk data transfer: applications that perform a transfer of large data volume files over the network. Some examples are SCP/FTP applications and direct downloads of large files from web servers like Mediafire, Dropbox or the university repository among others. Web browsing: contains all the generated traffic while searching and consuming different web pages. Examples of those pages are several blogs and new sites and the moodle of the university. Vídeo playback: contains traffic from applications that consume video in streaming or pseudo-streaming. The most known server used are Twitch and Youtube but the university online classroom has also been used. Idle behaviour: is composed by the background traffic generated by the user computer when the user is idle. This traffic has been captured with every application closed and with some opened pages like google docs, YouTube and several web pages, but always without user interaction. The capture is performed in a network probe, attached to the router that forwards the user network traffic, using a SPAN port. The traffic is stored in pcap format with all the packet payload. In the csv file, every non TCP/UDP packet is filtered out, as well as every packet with no payload. The fields in the csv files are the following (one line per packet): Timestamp, protocol, payload size, IP address source and destination, UDP/TCP port source and destination. The fields are also included as a header in every csv file. The amount of data is stated as follows: Bulk : 19 traces, 3599 s of total duration, 8704 MBytes of pcap files Video : 23 traces, 4496 s, 1405 MBytes Web : 23 traces, 4203 s, 148 MBytes Interactive : 42 traces, 8934 s, 30.5 MBytes Idle : 52 traces, 6341 s, 0.69 MBytes The code of our machine learning approach is also included. There is a README.txt file with the documentation of how to use the code.
DOI: 10.17632/pgrnrft2px.1
title: Nursing knowledge of heart failure

description: This dataset contains the results of nurses' knowledge of heart failure among 1121 members of the American Association of Heart Failure Nurses and Registered Nurses currently licensed in Connecticut. The study was carried out from 2021 to 2022. The dataset is presented in English.
DOI: 10.17632/rydhf7j4vj.1
title: Dataset on a primary battery cell with a ferroelectric Li-glass electrolyte

description: The data attached is a comparison between the commercial CR1616 Li-MnO2 cell and Li/Li-glass (Li2.99Ba0.005ClO) in cellulose/gamma-MnO2+C/Al pouch-cell. Although the LED determines the potential profile, the potential is a response to the input current. Therefore, the variable discharge current and potential profiles are useful to determine the maximum current output of a battery cell as well as the standard discharge current and the cell profile. As observed in I vs t data for the commercial cell, the cell’s maximum current is 13 mA and the standard discharge current plateaus below 100 uA when the cell is almost fully discharged (83% = first day). Moreover, the extended plateau for the commercial cell varies from 100 uA to approximately 16.5 uA; most of the capacity of the cell is obtained in the first 30 hrs of discharge (94%). The pouch-cell with 16.2 mg of active cathode material was discharged at room temperature inside an air-filled glove box; it shows a specific capacity of 764 mAh/g-gamma MnO2 (for a theoretical capacity of 209 mAh/g-gamma MnO2), which is higher than the 308 mAh/g of the commercial cell, obtained after discharging it for 11.2 months with a green LED lit uninterruptedly (see Data). It is observed that the profiles for the current in the commercial and pouch-cell differ substantially; while the commercial cell varies its output current from 13 mA to 95 uA in two days and finally to 0.16 uA in more 5 days (the LED was not lit from day 6th with 14 hrs to day 7th with 2 hrs), the Li-glass pouch-cell varies its output current from 1 mA to 17 uA in one day and then to 2 uA in 59 days and it remains lit for 334 days. The data for the commercial cell is divided by the ratio between commercial and pouch-cell active cathodes (13.3) showing a maximum current of 0.977 mA, a plateau from 7.52 to 1.24 uA which compare to Imax = 1.01 mA, plateau from 32 to &gt;=1.24 uA for 4.3 months of the FEB. The coin cell is a 3D cell as the electrolyte wets all cathode powders and the pouch is a 1D cell (only the surface in contact with the Li-glass is effective) and, therefore, the previous calculations are just approximations. The discharge of the commercial cell with the green LED was used as a control method. The capacity determined by this method agrees with the capacity in the corresponding technical spreadsheet. The profile of the green LED used was also determined accurately.
DOI: 10.17632/gjwx64sgkp.1
title: Spectral dataset of grape berries from hyperspectral imaging for maturity monitoring

description: In the dataset presented in this article, two hundred and seventy four tray containing one hundred berries were were measured by a hyperspectral camera in the visible/near-infrared spectral domain. 
This dataset was formed to study the use of spectra for maturity monitoring of grape berries .
This dataset contains reflectance spectra obtained from hyperspectral camera of grape berries of three different varieties. 
In addition, this dataset contains measurements of sugar content for batches of grape.
DOI: 10.17632/zw4k6wwwcg.1
title: Growth Mindset Intervention Study

description: repeated measures or within-subjects ANOVA with a control group to measure the mean differences in the self-reported growth mindset items score of an intervention study.
DOI: 10.17632/jpbtrskhvg.1
title: Health inequality and it’s decomposition between rural and urban migrant workers in China

description: Self-rated health was taken as the health level evaluation index, the concentration index of self-rated health and factors affecting self-rated health was calculated, and decomposed by the method of Wagstaff et al.
DOI: 10.17632/chr5b94c6y.2
title: ShoppingAppReviews Dataset

description: A dataset consisting of 751,500 English app reviews of 12 online shopping apps. The dataset was scraped from the internet using a python script. This ShoppingAppReviews dataset contains app reviews of the 12 most popular online shopping android apps: Alibaba, Aliexpress, Amazon, Daraz, eBay, Flipcart, Lazada, Meesho, Myntra, Shein, Snapdeal and Walmart. Each review entry contains many metadata like review score, thumbsupcount, review posting time, reply content etc. The dataset is organized in a zip file, under which there are 12 json files and 12 csv files for 12 online shopping apps. This dataset can be used to obtain valuable information about customers' feedback regarding their user experience of these financially important apps.
DOI: 10.17632/5ytkdp9sks.1
title: Data for: Orbital forcing of monsoon activity in the Tethys realm and internal feedback mechanisms during the Triassic

description: These data including MS, GR, K, U, Th, TOC, and Trace elementary ratios of the Ch7 black shale interval from both core and outcrop.