cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rgv6362xdj
title: Research Paper Dataset

description: FINANCIAL DEVELOPMENT, INSTITUTIONS AND ECONOMIC GROWTH IN SUB-SAHARAN AFRICA. Economic Growth (RGDP): Real GDP is expressed mathematically as: nominal GDP divided by GDP deflator (inflation). Financial Development Indicators: Credit to Private sectors as a percentage of GDP (DCPS), Broad money as a percentage of GDP (BMGDP) and The final measure of financial development is the new broad-base (NFDI) measure of financial development developed by IMF in 2016. It is a six-based index that measures the financial institution and financial market depth, access and efficiency. Voice and Accountability: it refers to the perception of how citizens of a country are free and allowed to take an active part in selecting their governments, the extent of freedom of expression, freedom of association and the independence of the media. Government Effectiveness: this measures the quality of public service, the competence of civil servants, the degree to which a government is free from political pressure, quality of bureaucracy, quality of public policy and government’s commitment ability to policies. Rule of Law: it measures the perceptions of people about the quality of contract enforcement, protection of property rights, societal respect for rules and regulations, the ability of the police and court to execute their duties in a free and fair manner as well as the probability of violence and crime. Control of Corruption: this measures the extent to which politicians, leaders and other people in public positions used power for their personal gains. Corruption takes many forms, not limited to bribes, favouritism, misuse of influence for personal gains and embezzlement. Regulatory Quality: it measures people's assurance and trusts that the government will formulate and implement sound policy regulations and activities that would promote private sector development. Polity2 Score: The last but not the least measure of institution used in this study is polity2 score developed by the Polity IV project. It is a 21-point scale ranging from -10 to 10 where the negative 10 indicate strong autocratic state and positive 10 indicating a strong democratic state. Gross Fixed Capital Formation as a percent GDP (GFCF): used GFCF as a proxy for domestic investment. Population Growth Rate (POP): this measures the rate of growth in the labour force. Population is expected to have either a negative or positive effect on growth. Therefore population increases could have a positive or negative effect on growth (Akinlo, 2016; Ferreira & Ferreira, 2016; Ofori-abebrese et al., 2017; Prowd, 2018). Openness to International Trade (TOT): openness to international trade refers to the sum of imports and exports as a percentage of GDP. Foreign direct investment (FDI) as percentage of GDP: this measures the amount of direct investment in an economy by a foreign national or group of foreign nationals. It is measured by dividing total amount of foreign invetment by gross domestic product(GDP).
DOI: 10.6084/m9.figshare.20893672.v1
title: Salmaninezhad et al. 2022

description: The presented file is the NEXUS format of the phylogenetic trees from the paper: Globisporangium coniferarum sp. nov. a new species from conifers and Querqus sp. as well as their alignments
DOI: 10.17632/6h5z3x6rkm
title: Quantitative analysis of macrophage metabolites after RMF stimulation

description: RAW 264.7 cells were polarized to M2 macrophages (Control group). M2 macrophages were incubated with MNMs (MNM group) and treated with rotating magnetic field (RMF) of 1 Hz for 15 min (RMF group). The cells were then collected and the metabolites were determined by liquid chromatography-mass spectrometry after 24 h.
DOI: 10.6084/m9.figshare.11394789.v1
title: GRF_COP_ML_RAW_right

description: This file is structured as a matrix with N rows x M columns. Each row holds the data of one subject and trial. The first column identifies each subject "SUBJECT_ID", the second column each recording session "SESSION_ID", and the third column each single trial within a recording session "TRIAL_ID". Note that due to the non-normalized nature of the data and the resulting different vector lengths, non-available numbers have been replaced by "NaN" to maintain a constant matrix-dimension.
DOI: 10.6084/m9.figshare.4654783.v1
title: Raw Data for Tran and Pashler "Learning to Exploit a Hidden Predictor in Skill Acquisition: Tight Linkage to Conscious Awareness"

description: The spreadsheet contains the data for Experiments 1 and 2 in "Learning to Exploit a Hidden Predictor in Skill Acquisition: Tight Linkage to Conscious Awareness"
DOI: 10.17632/w3r29kbgcf
title: Dataset of the article - Deep Reinforcement Learning-Based Secondary Control for Microgrids in Islanded Mode

description: This article proposes an intelligent secondary controller for islanded microgrids using the Deep Deterministic Policy Gradient (DDPG). The proposed controller could maintain the microgrid voltage and frequency stability for three different scenarios. Moreover, the proposed control performance was compared to another one based in the droop method.
DOI: 10.6084/m9.figshare.28236635.v1
title: Dataset

description: <b>Facial Expression Recognition Dataset</b>This dataset supports research on facial expression recognition using visible and infrared modalities. It includes data for various facial expressions from two publicly available datasets: VIRI (five expressions: angry, happy, neutral, sad, and surprised) and NVIE (three expressions: fear, disgust, and happy). The dataset has been processed and prepared for training and evaluation of machine learning models.The dataset is designed for use with deep learning frameworks like PyTorch and supports experiments in feature extraction, model evaluation, and early fusion approaches for visible and infrared modalities.For details on the methodology, preprocessing steps, and evaluation metrics, please refer to the linked GitHub repository: https://github.com/naseemmuhammadtahir/raw-data.This dataset facilitates reproducibility and exploration of advanced models for facial expression recognition tasks in diverse modalities.
DOI: 10.17632/xhh8575ytb
title: Data for: The life cycle carbon emissions of China's building and construction industry from 2000-2015: analysis and policy implications

description: This data set includes all indicators which are used in the decomposition analysis. It has four sections, including: section 1, which is related to raw materials consumption and analysis; section 2, which is related to the energy consumption and emissions from construction and construction-related transportation activities; section 3, which is related to the energy consumption and emissions from building operation stage; and section 4 which includes other relevant data.
DOI: 10.6084/m9.figshare.10048262.v1
title: Data on breeding time and moonlight

description: Data on moonlight conditions at different times of breeding from San-Jose et al., "Differential fitness effects of moonlight on plumage colour morphs in barn owls." https://doi.org/10.1038/s41559-019-0967-2
DOI: 10.6084/m9.figshare.25932409.v1
title: A semi-labelled dataset for fault detection in air handling units from a large-scale office

description: Fault detection and diagnosis (FDD) in Air Handling Units (AHUs) systems ensure optimal performance, energy efficiency, and occupant comfort by quickly identifying and diagnosing faults. Combining deep learning with FDD has demonstrated high generalization ability in this field. To develop deep learning models, this research constructed a dataset sourced from real data collected from a large-scale office in South Korea. The raw AHU data were extracted from a building management system (BMS) at 1 hour interval, spanning from November 2023 to May 2024. The dataset was partially labeled by annotation experts, categorizing the data into four types: normal, fan fault, sensor fault, and valve fault. The main contributions of this dataset to the field are twofold. First, it represents a unique dataset sourced from the real operational data of a large-scale office, which is currently non-existent in this domain. Second, the dataset's expert labeling adds significant value by ensuring accurate fault classification. Therefore, we hope that this dataset will encourage the development of robust FDD techniques that are more suitable for real-world applications.
DOI: 10.17632/c9v7p72r6k
title: Supplementary materials for Article: Efficacy and safety of dupilumab in pediatric patients aged 6 months to 11 years with erythrodermic atopic dermatitis: A post-hoc analysis of three clinical trials

description: Supplementary materials for Article: Efficacy and safety of dupilumab in pediatric patients aged 6 months to 11 years with erythrodermic atopic dermatitis: A post-hoc analysis of three clinical trials
Authors: Amy S. Paller, MD, Elaine C. Siegfried, MD, Michael J Cork, BS, MB, PhD, FRCP, Kenji Kabashima, MD, PhD, Peter D. Arkwright, MD, PhD, Edyta Gębska, MD, PhD, Zhen Chen, PhD, Joseph Zahn, MD, Ana B. Rossi, MD, CMD
Journal: Journal of the American Academy of Dermatology (JAAD)
 
- Supplements
- Plain Language Summary
- Author narrated video abstract
DOI: 10.6084/m9.figshare.26054182.v1
title: The data and code that support "Climate and substrate stoichiometry co-regulate free-living nitrogen fixation at regional and global scales"

description: The traditional view holds that the global distribution of biological nitrogen fixation (BNF) in terrestrial ecosystems is primarily driven by climate, associating warm and wet regions with higher BNF rates. However, this view fails to explain the low free-living BNF rates observed in these regions. Here, we conducted two field experiments and a global synthesis to assess the regulatory patterns of free-living BNF at both regional and global scales. The field experiments showed that the regional distributions of litter free-living BNF did not necessarily peak at warm and wet sites, due to co-regulation by climate and substrate stoichiometry (especially C : [N : P]). Subsequently, the global synthesis demonstrated that these phenomena and co-regulatory patterns persisted in free-living BNF in litter and other substrates (e.g. soil) at global scale. Our findings highlight the important role of substrate stoichiometry in regulating the spatial distribution of free-living BNF.
DOI: 10.6084/m9.figshare.28530998.v1
title: monkey a

description: Inferring Latent Behavioral Strategy from the Representational Geometry of Prefrontal Cortex ActivityYichen Qian, Roger Herikstad, Camilo Libedinskydoi: https://doi.org/10.1101/2025.02.19.639166
DOI: 10.6084/m9.figshare.7659179.v1
title: Additional file 15: of Conserved regulation of RNA processing in somatic cell reprogramming

description: Table of primers and PCR assays. The XLSX spreadsheet file contains a list of all primers used for the cloning of transgenes into retroviral vectors, qRT-PCR assays for pluripotency, differentiation, epithelial and mesenchymal markers, genomic PCR reactions for transgenes derived from iPSC clones, and Cd44 RT-PCR reactions. (XLSX 7 kb)
DOI: 10.17632/hgcg44cz99
title: A Multipurpose Dataset for Automatic Bangla Offensive Speech Recognition

description: This dataset contains audio data of common abusive Bengali words. The audio data includes 114 slang words with 5277 audio clips by 60 native speakers who participated, speaking in various dialects from over 20 districts. The recorded audio  data is natively recorded  by the participants in .WAV format. 

•  This dataset can be used to develop an automatic Bengali Slang Speech Recognition System, and also as a benchmark for new ML models.
•  This dataset can potentially help minimize cyberbully victims and children exposed to abusive remarks on video/audio content containing abusive language. 
   In addition, this dataset of carefully collected offensive language in Bengali aims to work towards achieving this goal. 
•  65% of the participants were male and 35% were female. 
•  150 university students participated in the evaluation of this dataset.
•  This dataset can be further enriched, and some background noise in the dataset can be useful to simulate a more real world scenario, if desired, which 
   otherwise could be removed.

***Warning: this dataset contains audio content that may be disturbing or upsetting. ***
DOI: 10.4121/14447257.v1
title: Energy consumption data of the GridFlex Heeten project

description: The data in this dataset was collected during the GridFlex Heeten project, as part of Victor Reijnders' PhD project.The data was collected between August 2018 and August 2020 in 77 households all situated in Heeten (The Netherlands) and consists of electricity consumption and gas usage per minute per household. All participating households specified their anonymous data could be used in further research. The data of this project was collected in accordance with a privacy-by-design approach.
DOI: 10.17632/fdrj67gdzj
title: Data for: A Novel Tool for Patient Data Management in the ICU – Ensuring Timely and Accurate Vital Data Exchange Among ICU Team Members

description: This contains the SQL code and methods for creating the tool we describe
DOI: 10.17632/pnnhy57kg9
title: Validation of STEM-CIS in Indonesian Context

description: This dataset contains questionnaires and results of analyses
DOI: 10.6084/m9.figshare.25707084.v1
title: S-wave permeability of Navajo sandstone and Berea sandstone

description: Ultrasonic S-wave is used to determine S-wave permeability of Navajo sandstone and Berea sandstone.
DOI: 10.6084/m9.figshare.28815659.v1
title: Supplementary Material for: Gut microbiome composition and one-year survival outcomes among patients with reduced ejection fraction heart failure

description: Background: Imbalances in gut microbiota are linked to chronic diseases, including heart failure, where shifts in microbial composition are evident in patients with reduced ejection fraction (HFrEF). This study compared gut microbiome profiles between HFrEF patients and healthy controls and explored potential links between microbiome composition and patient survival over 6 and 12 months.
Methods: In this longitudinal case-control study, 20 HFrEF patients and 40 healthy controls were recruited, with stool samples collected for gut microbiome analysis. Patients were followed for six and twelve months to assess survival. Gut microbiome composition was analyzed using real-time PCR for specific bacterial taxa. Statistical analyses were performed using R to compare HFrEF and control groups and draw the ROC curve to predict survival at six and twelve months.
Results: HFrEF patients showed a significantly lower abundance of all bacterial taxa, except for A. muciniphila. Decreased levels of Prevotella, F. prausnitzii, Firmicutes, and Bacteroides, as well as a lower Firmicutes/Bacteroidetes (F/B) ratio, were notable in HFrEF patients, with specific taxa correlating with clinical features like ascites and vitamin D levels. Most bacterial taxa and the F/B ratio could distinguish HFrEF patients from controls, though none effectively predicted survival outcomes at six or twelve months.
Conclusion: The study demonstrates that patients with HFrEF exhibit a distinct gut microbiome profile compared to healthy individuals. While specific gut bacteria were effective in distinguishing HFrEF patients from healthy controls, their ability to predict survival outcomes was limited, highlighting the need for further research into the role of the gut microbiome in the progression and prognosis of heart failure.
DOI: 10.17632/gcmtz82gnp
title: Database of Soil Indicators of Kakia-Esamburmbur Catchment, Narok County, Kenya

description: This is the database for the article entitled "Soil Quality Index (SQI) for Evaluating the Sustainability Status of Kakia-Esamburmbur Catchment Under Three Different Land Use Types in Narok County, Kenya". It contains all the 24 indicators obtained through field and laboratory works at 24 sample sites.
G= Grass land, F= Forest land, C= Crop land (W= Wheat and M= Maize)
DOI: 10.17632/gss6y9bnmp
title: Study on Consumer Perspectives on the Use of Organic Ingredients and Their Influence on Purchasing Decisions in FnB Businesses

description: This study uses a descriptive qualitative approach that aims to deeply understand consumer perspectives on the use of organic ingredients and their influence on purchasing decisions in FnB businesses, especially in the MSME sector. This approach was chosen because it allows researchers to explore the meaning, experience, and subjective understanding of consumers who have used organic-based food and beverage products.
DOI: 10.6084/m9.figshare.12129324.v2
title: Instar abundance of Ixodes ricinus from southern Scandinavia

description: Ixodes ricinus instar abundance from 159 sites in 2016 and 30 sites in 2017 in southern Scandinavia
DOI: 10.6084/m9.figshare.16943821.v7
title: Data & Scripts Figure S1, Table S4

description: Data and scripts to generate Supplementary Figure 1.<br>
DOI: 10.6084/m9.figshare.22237519.v7
title: Reliability and validity of the Brief Emotional Experience Scale (BEES) as a measure of emotional well-being

description: Raw data files for article titled 'Reliability and validity of the Brief Emotional Experience Scale (BEES) as a measure of emotional well-being'<br>
DOI: 10.6084/m9.figshare.24391240.v4
title: Frontier HPC & Facility Data

description: This dataset captures waste heat data from an ORNL HPC data center, aiming to guide future research on optimizing waste heat recovery in large-scale data centers, especially those of HPC caliber
DOI: 10.6084/m9.figshare.29128730.v1
title: Rhizosphere environmental sample set

description: Benchmarking of various genome decontamination tools on an rhizosphere environmental dataset of Single-cell Amplified Genomes (SAGs) from Aoki et al. (2022).
DOI: 10.17632/4jpzn5k6j4
title: Metagenomics

description: Metagenomic data of composting in different periods (days 0, 3, 8, 22, 50)
DOI: 10.17632/7p7fg6mgzy
title: Articles on Financial constraints

description: The dataset includes bibliographic information of 4970 articles of the topic of Financial constraints in the Scopus database
DOI: 10.6084/m9.figshare.7496255.v1
title: Data-Literature Linking in the Ag Data Commons webinar slide deck

description: The Ag Data Commons monthly webinar series originally presented "Introduction to the Ag Data Commons" on August 21, 2018. Topics covered include purposes of data citation (& past problems), data citation standards and policies, data-literature links in the Ag Data Commons, Ag Data Commons citation metrics & bibliography, and data-literature reference services.<br>View the webinar recording at https://youtu.be/GPbeC-2oZJQ
DOI: 10.17632/8njvsz9gzm
title: Lepidoptera Heterocera records in Western Piedmont region (Italy)

description: We provide raw data concerning occurrence and abundance of nocturnal Lepidoptera and environmetal covariates that describe the sampling sites. The research aimed to investigate the possible effects of the noise disturbance on moth community. Data were collected using light traps and light sheet methods. The sampling was conducted for 16 nights using light traps following the Before/After-Control/Impact approach, and for five nights using light sheet, during two sampling sessions in July 2023. A controlled white noise was reproduced during the field experiment, and soundscape characterisation was carried out throughout the whole sampling. Environmental covariates (Dataset_2) were provided, including coordinates, temperature, humidity, weather conditions, moonlight, and the A-weighted Equivalent continuous sound levels (LAeq) values, that described the soundscape. The presented data include 129 species and 823 individuals recorded (Dataset_1). The light sheet method was used to observe species without capturing them, providing additional species occurrence data (Dataset_3). These comprehensive datasets are valuable for further investigations into the effects of environmental factors, particularly noise, on nocturnal Lepidoptera communities. The dataset presented contributes to the knowledge of moth communities in the northwestern part of Italy. The environmental covariates can inform other studies aiming to investigate possible different community responses across various geographic areas. Specifically, the soundscape and sound pressure level data provide essential baselines for future field experiments that may examine the impact of environmental stressors, such as noise pollution, on Lepidoptera behaviour, distribution, and community dynamics.
DOI: 10.6084/m9.figshare.14141819.v1
title: Assembled Illumina Short Reads

description: <b>Assembled Illumina short reads</b> from human oral cavity samples processed using the state-of-the-art DNA extraction strategies for shotgun metagenomics described in the following study:<br>https://doi.org/10.1101/2021.03.03.433801<br>These two metagenomes are from the same individual's oral samples and generated from (1) the sample used for long-read sequencing of the same material to test HMW DNA extraction method 01 in our study (here named ORAL_ILLUMINA_METHOD_01_REPL_02_ASSEMBLED) and (2) the sample used for 16S rRNA gene amplicon sequencing (here named ORAL_ILLUMINA_TD_ASSEMBLED.db).<br>These contigs databases here includes sequences longer than 2,500 and which includes gene calls, HMM hits for single-copy core genes, and gene functions. Visit this page to learn what you can do with a contigs database:<br>https://merenlab.org/m/contigs-db<br>PS: we also have a set of anvi'o contigs databases for unassembled and assembled long-reads generated from the same individual in different data packs. For their DOIs, please see the Data Availability section in our study.<br>
DOI: 10.6084/m9.figshare.23578695.v1
title: Laboratory log

description: Laboratory log
DOI: 10.6084/m9.figshare.7265585.v2
title: Forecast SB2: XXI AFORE BANORTE

description: The objective of this data is to show the AFORES classification SB2 and the yield of the investment in the SIEFORES to the prediction of contributions and yields in the period analyzed with a confidence level between 80 and 95%. The database obtained from https://figshare.com/articles/SIEFORES_BASIC_2_SB2_/7210022
DOI: 10.17632/4hrfx2ngwc
title: Implementation of gamma-ray transmission tomography in a multi-modality tomographic scanner for nuclear materials in shielded radioactive waste drums - simulation data

description: Geant4 simulation data in CERN Root-format. The data result from a simulation study on step-and-shoot computed tomography (CT) using a cylindrical NaI(Tl)-detector and a point Co-60 source. The data is used to reconstruct tomographic image slices of a mock-up drum geometry built in Geant4. The source was simulated as a cone beam of 1/27th of a sphere with a million events per energy and measurement step in the full scan. The scan was simulated with increments of 3-degree rotation and 1 cm translational steps to complete full coverage of the width of the drum (in total 720 mm) per rotation in a 180-degree arc.

The images can be reconstructed through an algorithm such as filtered back-projection.
DOI: 10.17632/j6hwn9b48y
title: The value-added trade between China and Africa and its impact on bilateral economic growth

description: this data is sourced from UNTCAD Eora-MRIO data base integrating trade data and input-output interactions from 1990 to 2021