cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/v362rp78dc
title: Potrika: Raw and Balanced Newspaper Datasets in the Bangla Language with Eight Topics and Five Attributes

description: Knowledge is central to human and scientific developments. Natural Language Processing (NLP) allows automated analysis and creation of knowledge. Data is a crucial NLP and machine learning ingredient. The scarcity of open datasets is a well-known problem in the machine and deep learning research. This is very much the case for textual NLP datasets in English and other major world languages. For the Bangla language, the situation is even more challenging and the number of large datasets for NLP research is practically nil. We hereby present Potrika, a large single-label Bangla news article textual dataset curated for NLP research from six popular online news portals in Bangladesh (Jugantor, Jaijaidin, Ittefaq, Kaler Kontho, Inqilab, and Somoyer Alo) for the period 2014-2020. The articles are classified into eight distinct categories (National, Sports, International, Entertainment, Economy, Education, Politics, and Science & Technology) providing five attributes (News Article, Category, Headline, Publication Date, and Newspaper Source). The raw dataset contains 185.51 million words and 12.57 million sentences contained in 664,880 news articles. Moreover, using NLP augmentation techniques, we create from the raw (unbalanced) dataset another (balanced) dataset comprising 320,000 news articles with 40,000 articles in each of the eight news categories. Potrika contains both datasets (raw and balanced) to suit a wide range of NLP research. By far, to the best of our knowledge, Potrika is the largest and the most extensive dataset for news classification.

Further details of the dataset, its collection, and usage can be found in our article here: https://doi.org/10.48550/arXiv.2210.09389.
DOI: 10.6084/m9.figshare.22709389.v1
title: MSI imzML files

description: SMA article raw data, file names correspond to Visium ID
DOI: 10.6084/m9.figshare.27988553.v1
title: <b>Geology, geochronology and geochemistry of the Miocene Sulutas volcanic complex, Konya-Central Anatolia: genesis of orogenic and anorogenic rock associations in an extensional geodynamic setting-Mineral chemistry data</b>

description: Mineral chemistry data
DOI: 10.17632/m9rt54t7mf
title: CSCL

description: learning engagement in online discussion
DOI: 10.17632/sm4b5v353j
title: Establishment of a Phase Stabilized Optical Fibre Link between two Timescales and Comparing them within 100ps Uncertainty - At CSIR NPL (India)

description: This data shows the comparison of two timescale located at CSIR-NPL.
DOI: 10.6084/m9.figshare.12363980.v1
title: imagenet visual data pkl file

description: VTKEL bounding box visual data after passing through vgg16 classifier.
DOI: 10.6084/m9.figshare.12486509.v1
title: JVASP-9675 to JVASP-10369

description: Input/output files
DOI: 10.17632/cyvk9t8nng
title: Age model and SNW-based Δ[CO32−] for Site U1490 since 5.1 Ma

description: The Integrated Ocean Drilling Program (IODP) Site U1490 is located on the northern edge of the Eauripik Rise at 05º48.95’ N, 142º39.27’ E and 2,341 m water depth. This age model was obtained by comparing the Cibicidoides wuellerstorfi δ18O (VPDB, Vienna Pee Dee Belemnite) curve and the standard LR04 stack (Lisiecki and Raymo, 2005), with additional constraints (red diamonds) based on the Brunhes normal polarity magnetozone at 9.12 m ccsf (0.781 Ma), the top and bottom of the Jaramillo Subchron at 11.75 m (0.988 Ma) and 12.70 m ccsf (1.072 Ma), and the top and bottom of the Olduvai Subchron at 21.74 m (1.788 Ma) and 25.35 m ccsf (1.945 Ma), respectively.
The deep-water Δ[CO32−] was based on a modern global SNW-Δ[CO32−] calibration for species Trilobatus sacculifer.
DOI: 10.17632/d7n78dt9bz
title: World Bank data on Health Nutrition and Population statistics for feature selection

description: World Bank data on Health Nutrition and Population statistics for 2022, with country income group from 2024, for feature selection. Data is processed to remove and replace missing values. Number of features: 243, number of instances: 216, all numeric.
DOI: 10.6084/m9.figshare.19518805.v1
title: Ovary

description: The folder contains: Metabolites-based_tissue and Metabolites_, Enzymes-, Reactions-based_PDGSMMs networks of ovary cancer in graphml format; sample_sheet.tsv tabular file containing GDC samples metadata, namely clinical information of samples; sample_sheet_subtypes tabular file containing for each GDC sample the assignment of HGSOC subtype; dictionary_id excel file for correspondence between Biomodel (PDSGSMM) id and TCGA id.
DOI: 10.17632/28wnpbb68n
title: Code

description: About Clustering Algorithms in Pre-Architectural Design: A Case Studies of Museum Buildings
DOI: 10.6084/m9.figshare.13109870.v1
title: Delaney et al 2020. A Concept Analysis of trial recruitment. Extended Data

description: A Concept Analysis of 'trial recruitment' using the Hybrid Model
DOI: 10.17632/6wsm8n8bsh
title: Tropical Fruit Leaf Disease Detection Dataset: Jujube, Star Fruit, and Guava

description: This dataset comprises original 1602 images & augmentation 7885 images of jujube, star fruit, and guava leaves, categorized into healthy and diseased labels. It is specifically designed for the development and training of machine learning models aimed at early disease detection in tropical fruit crops. The dataset includes various types of leaf diseases, making it a valuable resource for researchers in plant pathology and agricultural technology. It offers a solid foundation for advancing automated systems to aid in crop management and improve sustainable farming practices.

Jujube Leaf:

Jujube Original data:
 Defect Jujube leaf:124
 Healthy Jujube Leaf:227
 Insect Feeding:177
 Leaf Curl:33

Jujube Augmentation data:
 Defect Jujube leaf:620
 Healthy Jujube Leaf:1010
 Insect Feeding:885
 Leaf Curl:165

Star Fruit Leaf:

Star Fruit Original data:
 Defect Star Fruit Leaf:183
 Healthy Star Fruit Leaf:298
 Insect Feeding:95
 Star Fruit old yellow leaf:68

Star Fruit Augmentation data:
 Defect Star Fruit Leaf:915
 Healthy Star Fruit Leaf:1490
 Insect Feeding:475
 Star Fruit old yellow leaf:340

Guava Leaf:

Guava Original data:
 Defect Guava leaf:158
 Fungal leaf: 39
 spot disease on Guava leafHealthy Guava leaf:200

Guava Augmentation data:
 Defect Guava leaf:790
 Fungal leaf: 195
 Spot disease on Guava leafHealthy Guava leaf:1000
 
Purpose:
The purpose of this research is to develop an efficient and accurate system for detecting diseases in jujube, star fruit, and guava leaves using advanced image processing and machine learning techniques. By identifying diseases early, this study aims to enhance crop management, minimize agricultural losses, and promote sustainable farming practices.
DOI: 10.17632/b6ht48w4hm
title: Dataset of nurse-delivered cognitive behavioral intervention on depression, anxiety and medication adherence for persons living with HIV in China: a clinical controlled trial

description: This datasest comes from a parallel, two-arm, clinical controlled trial that investigates the intervention effects of nurse-delivered CBI on depression, anxiety, and medication adherence for PLWH in China. Data collectors repeatedly evaluated 140 participants’ outcomes through paper-based or online questionnaires at baseline, after 10-week CBI, and at 6-month follow-up. Measurement tools included the Hospital Anxiety and Depression Scale (HADS), self-reported medication adherence, the Visual Analog Scale (VAS), and medication possession ratio (MPR).
DOI: 10.6084/m9.figshare.11936793.v1
title: data_AM2

description: This is the data repository for the manuscript: "Relative roles of energy and momentum fluxes in the tropical response to extratropical thermal forcing", submitted to AMS.<br>Data are designed to be read and plotted via MATLAB.<br>The required data files (.mat) and code (.m) for each figure are located in the corresponding directories.<br>Outputted figures are saved in 'svgfile' directory.<br><br>please see README in the file for more info.<br>
DOI: 10.6084/m9.figshare.1521657.v1
title: Defining the three cell lineages of the human blastocyst by single-cell RNA-seq

description: <strong>Abstract:</strong> Here, we provide fundamental insights into early human development by single-cell RNA-sequencing of human and mouse preimplantation embryos. We elucidate conserved transcriptional programs along with those that are human specific. Importantly, we validate our RNAsequencing findings at the protein level, which further reveals differences in human and mouse embryo gene expression. For example, we identify several genes exclusively expressed in the human pluripotent epiblast, including the transcription factor KLF17. Key components of the TGF-β signalling pathway, including NODAL, GDF3, TGFBR1/ALK5, LEFTY1, SMAD2, SMAD4 and TDGF1, are also enriched in the human epiblast. Intriguingly, inhibition of TGF-β signalling abrogates NANOG expression in human epiblast cells, consistent with a requirement for this pathway in pluripotency. Although the key trophectoderm factors Id2, Elf5 and Eomes are exclusively localized to this lineage in the mouse, the human orthologues are either absent or expressed in alternative lineages. Importantly, we also identify genes with conserved expression<br>dynamics, including Foxa2/FOXA2, which we show is restricted to the primitive endoderm in both human and mouse embryos. Comparison of the human epiblast to existing embryonic stem cells<br>(hESCs) reveals conservation of pluripotency but also additional pathways more enriched in hESCs. Our analysis highlights significant differences in human preimplantation development compared with<br>mouse and provides a molecular blueprint to understand human embryogenesis and its relationship to stem cells. <strong>Update: </strong>Boxplots contained in "Human lineages at blastocyst stage" include our own samples in addition to those from Yan et al that were used in Figs 3-6.
DOI: 10.6084/m9.figshare.26112652.v3
title: Assembly and Annotation of the Haploid Genome of the KanYao Durian

description: This dataset provides information on the assembly sequences of two chromosome-level haploid genomes of the KanYao durian, including gene structure annotation, gene function annotation, non-coding RNA annotation, and SV variations.
DOI: 10.6084/m9.figshare.7676159.v1
title: video.mp4

description: RPS model
DOI: 10.17632/v754kznw4s
title: solar and wind profiles

description: Solar and wind profile resources for the University of Nariño.
DOI: 10.6084/m9.figshare.26503441.v1
title: 1777_GenBank Accession Number

description: GenBank Accession Number of 1777 samples
DOI: 10.17632/5zbwnxfyr5
title: Financial Manipulation Data

description: The dataset consists of the manipulated companies based on the SEBI adjudication order and non-manipulated companies based on the similar industrial sectors of the manipulator companies. So, the dataset included total of 347 companies with 21 numbers of parameters for each companies.
DOI: 10.17632/82m63p3t5t
title: Article 6 of the Paris Agreement Costa Rica

description: Title: Leveraging Article 6 of the Paris Agreement: Enhancing Costa Rica's Carbon Market and Decarbonization Goals

Description:

This dataset accompanies the research paper titled "Leveraging Article 6 of the Paris Agreement: Enhancing Costa Rica's Carbon Market and Decarbonization Goals." The study explores how Costa Rica can leverage Article 6 of the Paris Agreement to enhance its carbon market and achieve its decarbonization goals. The dataset includes the following documents:

Article 6.pdf - This PDF file contains the full research article detailing the analysis, methodology, results, and conclusions of the study.
CR Art 6 concept.docx - A conceptual document outlining the core ideas and framework of the research.
FIG 1 ART 6.png - A graphical representation (Figure 1) illustrating the potential sectors for carbon credit generation in Costa Rica, including forestry, renewable energy, and sustainable agriculture.
Summarize art 6.docx - A summarized version of the article providing key points and findings.
Tables Art 6.docx - A document containing nine tables that support the research with detailed data and analysis.
Documents:

Article 6.pdf (561 KB): Full research article.
CR Art 6 concept.docx (9.37 KB): Conceptual framework.
FIG 1 ART 6.png (383 KB): Graphical abstract.
Summarize art 6.docx (68.7 KB): Summary of the research.
Tables Art 6.docx (file size not provided): Contains nine tables supporting the research data.
Keywords: Carbon Market, Article 6, Decarbonization, Costa Rica, Environmental Policy, Sustainable Development

Publication Date: August 1, 2024

Author: Andrea Navarro Jiménez

Contact Information: andrenavarrojime@gmail.com
DOI: 10.17632/twvdgsgncr
title: Oil price shocks, exchange rate and uncertainty: case of Latin American economies

description: This paper examines the effects of oil demand and supply shocks on emerging market economies in Latin America using a Bayesian vector autoregressive (VAR) model that combines zero and sign restrictions. Our results highlight the importance of separately identify the oil market shocks. The higher price of oil driven by increased global demand produces higher output growth in Brazil, Colombia, and Chile. The results are more persistent for Brazil and Colombia likely due to increased income from oil exports, as both economies are net oil exporters. The better times in the domestic economies result in lower uncertainty and appreciation of the exchange rate in all countries in the sample. Oil supply shocks and oil-specific demand shocks are not statistically significant for most variables. Our results provide important insights into the appropriate exchange rate policy in emerging market economies.
DOI: 10.6084/m9.figshare.14959416.v1
title: LILRB1.cds.vcfx.submission.vcf

description: NGS data (vcf. file) for LILRB1 CDS
DOI: 10.6084/m9.figshare.25750479.v1
title: Biotic mechanisms of reef fish community assembly at global scales

description: Data and R code to replicate analysis of biotic mechanisms of reef fish community assembly at global scales, recently submitted for consideration to Global Ecology and Biogeography (GEB-2024-0272)
DOI: 10.6084/m9.figshare.28678420.v1
title: Hypothesis Testing for a Functional Parameter via Self-normalization

description: Testing simple or composite hypothesis on a functional parameter has attracted considerable attention in time series analysis. To accommodate for the unknown temporal dependence, classical nonparametric approaches such as block bootstrapping and subsampling all involve a bandwidth parameter, the choice of which can substantially affect the finite sample performance. The self normalization (SN) method is tuning parameter free when applied to the inference of a finite-dimensional parameter but its applicability to a functional parameter is unknown. In this paper, we propose a sample splitting based approach to generalize the SN method to hypothesis testing of a functional parameter. Our SS-SN (sample splitting plus self-normalization) idea is broadly applicable to many testing problems for functional parameters, including testing for simple/composite hypothesis on marginal cumulative distribution function, testing for time-reversibility and testing for a change point on the spectral distribution of a multivariate time series. Specifically, we derive the pivotal limiting distributions of our SS-SN test statistics under the null for both simple and composite null hypothesis, and derive the limiting power function under the local alternatives. Numerical simulations show that our new tests tend to yield accurate size with competitive power performance as compared to many existing ones.
DOI: 10.6084/m9.figshare.3364717.v1
title: Lake Victoria Atlantis model output

description: This is a netcdf file with the Lake Victoria Atlantis model. There is a graph showing the evolution of biomass of the biological groups used in the model
DOI: 10.6084/m9.figshare.7767167.v1
title: Australian bee species that open flower buds

description: Video recordings have been used to document examples of bee species that forage by manipulating unopened valvate flower buds. The cases shown fall into three categories: 1) sealed buds that are opened only with significant effort; 2) mature buds that open readily when disturbed and 3) buds that open progressively. The two bee species shown opening buds of type 1 are apparently oligolectic and are seldom found on any other flower. Those visiting straight-styled <i>Banksia </i>flowers (type 2) range from apparently oligolectic (<i>Euhesma banksia</i>) to polylectic and the polylectic species (<i>Lasioglossum erenaean</i>) visiting <i>Eremophila</i> is included to demonstrate how easily foraging from partially open flowers could evolve into bud opening behviour. bicolorellus.mp4: shows a female <i>Hylaeus (Sphaerhylaeus) bicolorellus</i> opening buds of <i>Lambertia formosa</i> on 5 Jan 2005 at Marramarra NP, NSW and 1 Feb 2005 at Ku-Ring-Gai Chase NP, NSW. hypoleucus.mp4: shows a female <i>Hylaeus (Pseudhylaeus) hypoleucus</i> opening buds of <i>Persoonia pinifolia </i>on 21 Dec 2004 at Berowra Valley NP, NSW. alcyoneus.mp4: shows a female <i>Hylaeus (Macrohylaeus) alcyoneus</i> opening buds of <i>Banksia aemula </i>on 3 May 2004 at Bouddi NP, NSW. littleri.mp4: shows a female <i>Hylaeus (Prosopisteron) littleri</i> opening buds of <i>Banksia aemula </i>on 3 May 2004 at Bouddi NP, NSW. banksia.mp4: shows a female <i>Euhesma (Euhesma) banksia</i> opening buds of <i>Banksia marginata </i>on 16 Apr 2004 at Royal NP, NSW. perhumilis.mp4: shows a female <i>Hylaeus (Prosopisteron) perhumilis</i> opening buds of <i>Banksia integrifolia</i> on 17 Mar 2008 at Cook Park, Ramsgate, NSW. eremaean.mp4: shows a female <i>Lasioglossum (Chilalictus) eremaean</i> opening buds of <i>Eremophila sturtii</i> on 4 Oct 2004 at Menindee, NSW.
DOI: 10.17632/tczn9t59rs
title: EEG+tACS signals for artefact removal

description: Data used in the article: http://www.mdpi.com/1424-8220/19/1/190. Please cite this if you make use of this data. On-phantom data: EEG data recorded from a phantom head model during the applications of tACS. These can be used to test the performance of artefact removal algorithms, knowing what the 'true' EEG signal is. The true signal is given in the *Sham*.mat files. The other files record the EEG for different stimulation settings. Recordings where the inputted EEG was an alpha test, and an N170 ERP are present. (ERP records not used in the paper above.) On-person data: EEG data recorded from people during transcranial ac current stimulation. Records are stored per person, with each record containing multiple stimulation frequencies and amplitudes. The following fields are present: - Order. Order of face/non-face presentations during the ERP task. - Task. Detail of which task (alpha or ERP) the EEG+tACS recording is for. - tACSFrequency. Frequency of tACS in Hz. - tACSStatus. On or off. Off indicates a sham trial. - EEG. Raw recorded EEG at 500 Hz from the Enobio. Values stored in nV. - tACSAmplitude. Amplitude of the tACS in uA. - tACS_sig. Recorded output from the Neuroconn showing the tACS stimulation applied. Sampled at 5 kHz. - t. A time vector in seconds. - Pre_EEG. EEG segmented to be before tACS applied. - During_EEG. EEG segmented to be during the tACS. - Post_EEG. EEG segmented to be after the tACS.
DOI: 10.6084/m9.figshare.24924282.v1
title: Data for Physics-Informed Convolutional Decoder (PICD)

description: This dataset is the supporting data for the manuscript " <b>Physics-Informed Convolutional Decoder (PICD): A novel approach for direct inversion of heterogeneous subsurface flow</b>".
DOI: 10.6084/m9.figshare.29007899.v1
title: SRR3414630.uniq.sorted.bam

description: sdfsdfsad
DOI: 10.17605/osf.io/9756d
title: DATASUS

description: Raw data sourced from the Department of Information Technology of the Brazilian Unified Health System (DATASUS).
DOI: 10.17632/c3tn4877gj
title: Materials for "First Reported Detection of a Winter Continental Gamma-Ray Glow in Europe"

description: # This is a companion dataset to the paper " First Reported Detection of a Winter Continental Gamma-Ray Glow in Europe" by Slegl et al.,
submitted to Atmospheric Chemistry and Physics.

This research was supported by the Johannes Amos Comenius Programme (OP JAC),
project No. CZ.02.01.01/00/22_008/0004605, Natural and anthropogenic georisks.

The dataset is published under the Creative Commons Attribution 4.0 International
License (CC-BY-4.0). This license allows others to distribute, remix, adapt, and build
upon the dataset for any purpose, even commercially, as long as they give appropriate
credit to the original creator(s).

## About
This set of data comprises of data and programs for obtaining graphs for article Šlegl et al. "First Reported Detection of a Winter Continental Gamma-Ray Glow in Europe"

The used time in all the graphs is UTC. If the data is in different time, the program for generating graph in jupyter notebook has it stated and adjusted to UTC. Comments how the data was processed is in provided jupyter notebooks. Data from cloud profiler are processed with MATLAB.

## Contact
Jakub Šlegl (Nuclear Physics Institute of the Czech Academy of Sciences) 
slegl (at) ujf.cas.cz
DOI: 10.17632/drc2vj4999
title: Table 1. Summary of demographic, clinical, laboratory and treatment regimen in this systematic review

description: Table 1 synthesizes the data collected in this systematic review of drug reaction with eosinophilia and systemic symptoms (DRESS) in the pediatric population
DOI: 10.17632/pvyh8j6xhn
title: COVID19 XRAY DATA

description: More than 350 million cases of infection, 5 million fatalities, and ongoing negative effects on physical and mental health are all results of the COVID-19 pandemic, which has afflicted people all over the world.

Globally, COVID-19 has caused a significant number of fatalities and now poses a novel and uncommon hazard to food security, labor and employment, and public health. Around 10 million individuals globally are impacted daily by COVID, according to the WHO, which is still spreading quickly. The most painful people are those who have chronic illnesses.

In order to limit the rate at which the virus is spread by direct contact, researchers focus all of their efforts on reducing the infection rate and increasing the precision of disease detection.

We contribute to accelerating the covid19 detection process for deep learning by creating a covid19 dataset in order to decrease the number of deaths caused by covid19. Our dataset, which numerous clinicians and researchers validated, comprises normal and covid19 X-ray pictures from various hospitals in Bangladesh. The dataset contains a total of 2000 images, where 1000 are normal and 1000 are covid images. Since the image quality is good and the data is sharp enough to extract image information, we anticipate that this dataset will aid in the diagnosis of covid19.
DOI: 10.6084/m9.figshare.12163527.v2
title: GTT-1-protein-275.dcdWW domain trajectories

description: Trajectories of ww domainTrajectories dataTrajectories of WW domain
DOI: 10.6084/m9.figshare.12988502.v1
title: Li et al-entropy_copula_network_expansion_data.rar

description: Daily precipitation data of 10 years (2007-2016) recorded by a precipitation monitoring network with 45 stations. The study area is located in the southwest Taihu Lake basin of China.<br>