cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/8mzr23hy7y.1
title: Spironolactone treatment for dermatologic indications is not associated with hypotension in a single-center retrospective study

description: Spironolactone treatment for dermatologic indications is not associated with hypotension in a single-center retrospective study
DOI: 10.17632/3krjnck6bm.1
title: Negative Impacts of Free Migration in the Mountainous Provinces of Northern Vietnam

description: There are three provinces selected as survey sites, including Cao Bang, Ha Giang, and Son La. Reason for selection: they are a border province where many ethnic minorities migrate freely. In these provinces, there are intra-regional migration, cross-border migration, and migration to the Central and Central Highlands with complex characteristics (Office, 2016). Survey 300 persons in three selected by random sampling method. Survey method: Ask for opinions by questionnaire. Survey subjects according to households, managers, and experts with a sample structure of 300 votes. It divides into specific: 150 votes for managers and experts and 150 votes for households.
DOI: 10.25504/fairsharing.ah8e84
title: PPG-BP Database
title: PPG-BP Database

description: This photoplethysmography and blood pressure (PPG-BP) database integrates the deidentified, comprehensive clinical data of patients admitted to the Guilin People's Hospital in Guilin, China. The openness of the data allows clinical studies to explore and improve the understanding of relationships between cardiovascular health and PPG signals, with the final goal of creating a simple, effective non-invasive detection technology that is easy to use and wearable. This dataset has been collected from 219 subjects, aged 21?86 years, with a median age of 58 years. Males accounted for 48%. The dataset covers several diseases including hypertension, diabetes, cerebral infarction, and insufficient brain blood supply.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.17632/vvh7spd32s.1
title: University students AND SUI_BEH

description: Suicide Behaviour in University Students
DOI: 10.17632/xz9t9gjtw6.1
title: Incomplete immunity in a natural animal-microbiota interaction boosts pathogen virulence

description: Data analysed in "Incomplete immunity in a natural animal-microbiota interaction boosts pathogen virulence". Used to generate main and supplemental figures.
DOI: 10.17632/rkw6tvtngy.1
title: PenRed: An extensible and parallel Monte-Carlo framework for radiation transport based on PENELOPE

description: Monte Carlo methods provide detailed and accurate results for radiation transport simulations. Unfortunately, the high computational cost of these methods limits its usage in real-time applications. Moreover, existing computer codes do not provide a methodology for adapting these kinds of simulations to specific problems without advanced knowledge of the corresponding code system, and this restricts their applicability. To help solve these current limitations, we present PenRed, a general-purpose, stand-alone, extensible and modular framework code based on PENELOPE for parallel Monte Carlo simulations of electron-photon transport through matter. It has been implemented in C++ programming language and takes advantage of modern object-oriented technologies. In addition, PenRed offers the capability to read and process DICOM images as well as to construct and simulate image-based voxelized geometries, so as to facilitate its usage in medical applications. Our framework has been successfully verified against the original PENELOPE Fortran code. Furthermore, the implemented parallelism has been tested showing a significant improvement in the simulation time without any loss in precision of results.
DOI: 10.17632/rkw6tvtngy.2
title: Enabling particle transport on CAD-based geometries for radiation simulations with penRed

description: Geometry construction is a fundamental aspect of any radiation transport simulation, regardless of the Monte Carlo code being used. Typically, this process is tedious, time-consuming, and error-prone. The conventional approach involves defining geometries using mathematical objects or surfaces. However, this method comes with several limitations, especially when dealing with complex models, particularly those with organic shapes. Furthermore, since each code employs its own format and methodology for defining geometries, sharing and reproducing simulations among researchers becomes a challenging task. Consequently, many codes have implemented support for simulating over geometries constructed via Computer-Aided Design (CAD) tools. Unfortunately, this feature is lacking in penRed and other PENELOPE physics-based codes. Therefore, the objective of this work is to implement such support within the penRed framework.
DOI: 10.17632/p99dbv75c4.1
title: PhoGV and potato moth geographic data in the north andean region

description: 1) Insect data (datosFeromonas.csv). A total of 1216 pheromone trap samples from 106 localities were obtained across Northern Andes. 

2) Virus occurrence data (virusecofor.txt). A total of 517 larval samples from 15 localities in Ecuador and Colombia were PCR amplified for teh detection of PhoGV
DOI: 10.17632/p5jt3jc6zf.1
title: Prevalence of Hidradenitis Suppurativa in Dhaka, Bangladesh: A hospital-based study

description: This study was an initiative of the Global Hidradenitis Suppurativa Atlas (GHiSA) to see the prevalence of hidradenitis suppurativa in Dhaka city of Bangladesh as a part of global prevalence of Hidradenitis suppurativa. The study was done with same methodology to ensure uniformity across the study sites. This was a mono-center study carried out at the Outpatient Department (OPD) of pediatrics, obstetrics, internal medicine, and other departments (excluding dermatology), of the Bangabandhu Sheikh Mujib Medical University Hospital, Dhaka, Bangladesh. Participants were enrolled from 15th April to 15thDecember 2022 consecutively, but due to the variable processing time, an element of convenience sampling was present. Informed consent was obtained prior to study participation. The English version of questionnaire was translated into Bangla by two volunteers who are fluent in both English and Bangla and data was collected by trained research assistants. The trained research assistants approached the potential respondents and explained the purpose of the study, while also stressing the anonymity of data. 
Patients from all over the country take service from BSMMU, which is the highest referral hospital, situated in the capital Dhaka. The city is situated in the central part of the country and its population is more than 23 million. Healthy persons accompanying patients to the BSMMU OPD were therefore considered as a representative population of the whole country. This study was approved by the Institutional Review Board (BSMMU/2022/4085; Date 23-4-2022) prior to study initiation. This study followed the Stard Flow diagram for diagnostic accuracy.
From the OPD a total of 2500 apparently healthy accompanying adults were approached for study participation, and none refused participation. Data was collected from 2500 respondents but among these, 123 were incomplete and therefore excluded. Finally, a total of 2377 participants were included for statistical analysis. Three HS patients were confirmed by dermatologists. A total of 23 screen-negative persons were randomly selected for clinical examination to verify the outcome. None of them had HS. 
The point prevalence in the final sample was 0.13 % (CI: 0.04%- 0.37%). There was a significant difference in the gender distribution in the sample. All (100.0%) the HS patients were male. The median age of the HS patients was 45 years. The median BMI for the HS patients was 28 kg/m2. The diagnostic accuracy of the screening questionnaire is presented in table 1. The sensitivity was 0.1 (3/3), specificity was 0.1 (23/23), positive predictive value PPV was 0.1 (3/3) and negative predictive value PPV was 0.1 (23/23).
DOI: 10.17632/35gb4v72dr.3
title: BananaVista: Banana Varieties Image Dataset

description: This dataset presents an assortment of high-resolution images that exhibit six well-known banana varieties procured from two distinct regions in Bangladesh. These bananas were thoughtfully selected from rural orchards and local markets, providing a diverse and comprehensive representation. The dataset serves as a visual reference, offering a thorough portrayal of the distinct characteristics of these banana types, which aids in their precise classification. It encompasses six distinct categories, namely, Shagor, Shabri, Champa, Anaji, Deshi, and Bichi, with a total of 1166 original images and 6000 augmented JPG images. These images were diligently captured during the period from August 01 to August 15, 2023. The dataset includes two variations: one with raw images and the other with augmented images. Each variation is further categorized into six separate folders, each dedicated to a specific banana variety. The images are of non-uniform dimensions and have a resolution of 4608 × 3456 pixels. Due to the high resolution, the initial file size amounted to 4.08 GB. Subsequently, data augmentation techniques were applied, as machine vision deep learning models require a substantial number of images for effective training. Augmentation involves transformations like scaling, shifting, shearing, zooming, and random rotation. Specific augmentation parameters included rotations within a range of 1° to 40°, width and height shifts, zoom range, and shear ranges set at 0.2. As a result, an additional 1000 augmented images were generated from the original images in each category, resulting in a dataset comprising a total of 6000 augmented images (1000 per category) with a data size of 4.73 GB.
DOI: 10.17632/35gb4v72dr.1
title: BananaVista: Banana Varieties Image Dataset

description: This dataset presents an assortment of high-resolution images that exhibit six well-known banana varieties procured from two distinct regions in Bangladesh. These bananas were thoughtfully selected from rural orchards and local markets, providing a diverse and comprehensive representation. The dataset serves as a visual reference, offering a thorough portrayal of the distinct characteristics of these banana types, which aids in their precise classification. It encompasses six distinct categories, namely, Shagor, Shabri, Champa, Anaji, Deshi, and Bichi, with a total of 1166 original images and 6000 augmented JPG images. These images were diligently captured during the period from August 01 to August 15, 2023. The dataset includes two variations: one with raw images and the other with augmented images. Each variation is further categorized into six separate folders, each dedicated to a specific banana variety. The images are of non-uniform dimensions and have a resolution of 4608 × 3456 pixels. Due to the high resolution, the initial file size amounted to 4.08 GB. Subsequently, data augmentation techniques were applied, as machine vision deep learning models require a substantial number of images for effective training. Augmentation involves transformations like scaling, shifting, shearing, zooming, and random rotation. Specific augmentation parameters included rotations within a range of 1° to 40°, width and height shifts, zoom range, and shear ranges set at 0.2. As a result, an additional 1000 augmented images were generated from the original images in each category, resulting in a dataset comprising a total of 6000 augmented images (1000 per category) with a data size of 4.73 GB.
DOI: 10.17632/35gb4v72dr.2
title: BananaVista: Banana Varieties Image Dataset

description: This dataset presents an assortment of high-resolution images that exhibit six well-known banana varieties procured from two distinct regions in Bangladesh. These bananas were thoughtfully selected from rural orchards and local markets, providing a diverse and comprehensive representation. The dataset serves as a visual reference, offering a thorough portrayal of the distinct characteristics of these banana types, which aids in their precise classification. It encompasses six distinct categories, namely, Shagor, Shabri, Champa, Anaji, Deshi, and Bichi, with a total of 1166 original images and 6000 augmented JPG images. These images were diligently captured during the period from August 01 to August 15, 2023. The dataset includes two variations: one with raw images and the other with augmented images. Each variation is further categorized into six separate folders, each dedicated to a specific banana variety. The images are of non-uniform dimensions and have a resolution of 4608 × 3456 pixels. Due to the high resolution, the initial file size amounted to 4.08 GB. Subsequently, data augmentation techniques were applied, as machine vision deep learning models require a substantial number of images for effective training. Augmentation involves transformations like scaling, shifting, shearing, zooming, and random rotation. Specific augmentation parameters included rotations within a range of 1° to 40°, width and height shifts, zoom range, and shear ranges set at 0.2. As a result, an additional 1000 augmented images were generated from the original images in each category, resulting in a dataset comprising a total of 6000 augmented images (1000 per category) with a data size of 4.73 GB.
DOI: 10.17632/hhksb972pp.1
title: CUTEly MAD Dataset

description: CUTEly MAD is a curated dataset for document-level sentiment analysis in the Malayalam language. CUTEly MAD is short for Curated Twitter Malayalam Dataset. The dataset is created by extracting Malayalam tweets from Twitter. A set of both positive and negative sentiment-oriented Malayalam words are identified, which are used as hashtags to extract tweets using Twitter API. Further, these tweets were manually labeled by a proficient annotator, based on their sentiment polarity into two classes, viz. negative and positive. If the sentiment is positive, then 1 is annotated. Otherwise, 0 is labeled for negative sentiment. A total of 2,000 tweets are labeled, where 50% are positive tweets and the other 50% are negative sentiment oriented.
DOI: 10.25504/fairsharing.9ww01s
title: Clinical Terms Version 3 (Read Codes)
title: CTV3

description: Read Codes are a coded thesaurus of clinical terms and have been used in the NHS since 1985. There are two versions: version 2 (v2) and version 3 (CTV3 or v3), they provide the standard vocabulary by which clinicians can record patient findings and procedures in health and social care IT systems across primary and secondary care e.g. General Practice surgeries and pathology reporting of results.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.5281/zenodo.10552654
title: Supplemental Data for: Variation in Predator Recognition Across Three Species of Jumping Spiders (Salticidae)

description: The ability to recognize threats and to respond in a timely and appropriate manner carries significant benefits. Depending on the recognition task, this can be cognitively demanding. The zebra jumping spider (Salticus scenicus) is capable of visually recognizing static predator stimuli and reacts via a robust “freeze and retreat,” a potentially innate response in this species. Here, we extend this finding, asking whether the ability of spiderlings to recognize a static predator and to initiate an escape response is common across juvenile salticids, and if so, whether there is species-specific variation of anti-predator responses. We found that captive-reared spiderlings of three European salticid species from different genera (Heliophanus cf. cupreus, Evarcha arcuata, Marpissa muscosa) were able to robustly recognize and retreat from a stationary predator stimulus. Additionally, we found differences in the reaction times between the species as well as different behavioral repertoires associated with the escape response which may reflect species-specific predator avoidance strategies.

 

This upload includes two datasets as well as the complete R script used for data analysis.
DOI: 10.5281/zenodo.10552655
title: Supplemental Data for: Variation in Predator Recognition Across Three Species of Jumping Spiders (Salticidae)

description: The ability to recognize threats and to respond in a timely and appropriate manner carries significant benefits. Depending on the recognition task, this can be cognitively demanding. The zebra jumping spider (Salticus scenicus) is capable of visually recognizing static predator stimuli and reacts via a robust “freeze and retreat,” a potentially innate response in this species. Here, we extend this finding, asking whether the ability of spiderlings to recognize a static predator and to initiate an escape response is common across juvenile salticids, and if so, whether there is species-specific variation of anti-predator responses. We found that captive-reared spiderlings of three European salticid species from different genera (Heliophanus cf. cupreus, Evarcha arcuata, Marpissa muscosa) were able to robustly recognize and retreat from a stationary predator stimulus. Additionally, we found differences in the reaction times between the species as well as different behavioral repertoires associated with the escape response which may reflect species-specific predator avoidance strategies.

 

This upload includes two datasets as well as the complete R script used for data analysis.
DOI: 10.25504/fairsharing.8qge9s
title: FAIRsharing record for: The Polygenic Score Catalog
title: PGS Catalog

description: This FAIRsharing record describes: The Polygenic Score Catalog is an open database of published polygenic scores (PGS; also referred to as polygenic risk scores [PRS] or genetic/genomic risk scores [GRS]). Each PGS in the Catalog is consistently annotated with relevant metadata; including scoring files (variants, effect alleles/weights), annotations of how the PGS was developed and applied, and evaluations of their predictive performance.
description: The source of this description is the metadata record on FAIRsharing.org, an educational and informative resource that describes and links databases, standards, and data policies. FAIRsharing also creates collections of these resources and recommendations of databases and standards based on 3rd party data policies.
DOI: 10.5517/ccdc.csd.cc296fwv
title: CCDC 2121357: Experimental Crystal Structure Determination

description: Related Article: Binbin Liu, Changrui Li, Ziqiao Chen, Xiao Ou, Shuting Li, Ao Li, Pin Chen, Ming Lu|2024|Int.J.Pharm.|652|123761|doi:10.1016/j.ijpharm.2023.123761
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc296fxw
title: CCDC 2121358: Experimental Crystal Structure Determination

description: Related Article: Binbin Liu, Changrui Li, Ziqiao Chen, Xiao Ou, Shuting Li, Ao Li, Pin Chen, Ming Lu|2024|Int.J.Pharm.|652|123761|doi:10.1016/j.ijpharm.2023.123761
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc296fyx
title: CCDC 2121359: Experimental Crystal Structure Determination

description: Related Article: Binbin Liu, Changrui Li, Ziqiao Chen, Xiao Ou, Shuting Li, Ao Li, Pin Chen, Ming Lu|2024|Int.J.Pharm.|652|123761|doi:10.1016/j.ijpharm.2023.123761
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.13012/b2idb-7546972_v1
title: DEM of the Great Unconformity, USA cratonic platform

description: These show the topography and relief of the Precambrian surface of the Cratonic Platform of the United States.
DOI: 10.5517/ccdc.csd.cc2g1hfg
title: CCDC 2265555: Experimental Crystal Structure Determination

description: Related Article: Binbin Liu, Changrui Li, Ziqiao Chen, Xiao Ou, Shuting Li, Ao Li, Pin Chen, Ming Lu|2024|Int.J.Pharm.|652|123761|doi:10.1016/j.ijpharm.2023.123761
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g1hgh
title: CCDC 2265556: Experimental Crystal Structure Determination

description: Related Article: Binbin Liu, Changrui Li, Ziqiao Chen, Xiao Ou, Shuting Li, Ao Li, Pin Chen, Ming Lu|2024|Int.J.Pharm.|652|123761|doi:10.1016/j.ijpharm.2023.123761
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2g5m6h
title: CCDC 2269516: Experimental Crystal Structure Determination

description: Related Article: Lizhao Zhu, Rei Kinjo|2023|Chem.Commun.|59|10436|doi:10.1039/D3CC02844E
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
DOI: 10.5517/ccdc.csd.cc2gm5kv
title: CCDC 2282547: Experimental Crystal Structure Determination

description: Related Article: Yuzhong Shi, Jinqiu Fu, Yingying Wang, Yihang Hou, Rongxi Guo, Mengyang Cai, Yajie Zhang, Hanjie Ying, Pengpeng Yang, Keke Zhang|2024|J.Mol.Liq.|395|123871|doi:10.1016/j.molliq.2023.123871
description: An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.