cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/wtbgzyvvsn.1
title: GeodesicViewer – A tool for exploring geodesics in the theory of relativity

description: Abstract The GeodesicViewer realizes exocentric two- and three-dimensional illustrations of lightlike and timelike geodesics in the general theory of relativity. By means of an intuitive graphical user interface, all parameters of a spacetime as well as the initial conditions of the geodesics can be modified interactively. Title of program: GeodesicViewer Catalogue Id: AEFP_v2_0 Nature of problem Illustrate geodesics in four-dimensional Lorentzian spacetimes. Versions of this program held in the CPC repository in Mendeley Data AEFP_v1_0; GeodesicViewer; 10.1016/j.cpc.2009.10.010 AEFP_v2_0; GeodesicViewer; 10.1016/j.cpc.2011.02.007 This program has been imported from the CPC Program Library held at Queen's University Belfast (1969-2018)
DOI: 10.17632/gy8v292647.1
title: Laboratory tests in the adult gender-expansive population

description: Supplementary file 1: Data for serum/plasma laboratory tests with sex-specific reference intervals performed on patients with sexual orientation/gender identity (SOGI) field differences for legal sex/sex assigned at birth (SAAB)/gender identity (GI) in the electronic medical record (EMR) at the University of Iowa Hospitals and Clinics from January 1, 2021 to December 31, 2021. The data elements include: deidentified patient number, age (years) at time of laboratory testing, location type (outpatient, inpatient, or emergency department) at time of specimen collection, legal sex in EMR, SAAB in EMR, GI in EMR, presence of SOGI mismatch (yes/no), change of legal sex in EMR, gender-affirming gonadectomy (yes/no), GI from chart review, gender-affirming hormone and route of administration, values for tests for 17 laboratory tests, and how the values of these 17 laboratory tests were relative to age-matched reference intervals for cisgender men and women. Assays details and reference intervals are summarized in Supplemental file 3. Chart review for SOGI fields previously reported [1]. There are a total of 1,166 unique patients (all 18.0 years or older) and 7,530 laboratory tests. Supplementary file 2: Data for plasma creatinine performed for patients 18.0 years or older taking gender-affirming estradiol or testosterone at the University of Iowa Hospitals and Clinics from January 1, 2021 to December 31, 2021. The data elements include: deidentified patient number, age (years) at time of laboratory testing, location type at time of specimen collection, legal sex in EMR, SAAB in EMR, GI in EMR, GI from chart review, gender-affirming hormone and route of administration, self-declared race in EMR (African-American or not), plasma creatinine (mg/dL), estimated glomerular filtration rate (eGFR) calculation using female sex and the 2021 CKD-EPI equation without race refit, eGFR using male as sex, and chronic kidney disease (CKD) stage using either female or male as sex. eGFR equation and CKD stages are from references 2 and 3, respectively. There are a total of 620 unique patients and 1,469 plasma creatinine values. Supplementary file 3: Includes Supplemental Table 1 with details on laboratory assay and Supplemental Table 2 with reference intervals for the laboratory tests analyzed. Data tabs for Supplemental Files 1 and 2 include one for primary data and another defining abbreviations. [1] N.G. Hines et al, Patterns of gender identity data within electronic health record databases can be used as a tool for identifying and estimating the prevalence of gender-expansive people, JAMIA Open 6 (2) (2023) ooad042. DOI: 10.1093/jamiaopen/ooad042. [2] C. Delgado et al., A Unifying Approach for GFR Estimation: Recommendations of the NKF-ASN Task Force on Reassessing the Inclusion of Race in Diagnosing Kidney Disease, Am J Kidney Dis 79 (2) (2022) 268-288 e261. DOI: 10.1053/j.ajkd.2021.08.003. [3] Kidney Int Suppl (2011) 3 (1) (2013) 5-14.
DOI: 10.17632/yk4jksgjdc.1
title: Data, analysis code, markdown, and additional figures for: Ceiling fans - Predicting indoor air speeds based on full scale laboratory measurements

description: Measured indoor air speeds induced by ceiling fans in 78 full scale laboratory tests. The factors for each test were the room size, fan diameter, type, speed, direction (up or down), blade height, and mount distance (i.e. blade to ceiling height). Each test measured omnidirectional air speed at locations along a single traverse from fan center radially outwards perpendicular to a wall in 15-30cm intervals. At each location there were 8 air speeds measurements at different heights. This .zip file contains all of the measured data, associated figures (including supplementary figures), analysis code (in R) and the markdown file for the paper (.Rmd).
DOI: 10.17632/53j6hyn99g.1
title: Synthetic dataset for cross-lingual text reuse detection evaluation

description: The evaluation dataset for the cross-lingual text reuse detection task.
The dataset was prepared for the article "Cross-language plagiarism detection: a case study of European languages academic works".

The dataset contains collections for reuse search (articles from Wikipedia) and documents with translated text passages for 3 language pairs.

Each synthtic document is represented by text and markup in XML format.
For the evaluation please use the PAN evaluation tool from https://pan.webis.de/clef11/pan11-web/external-plagiarism-detection.html.
DOI: 10.17632/y63frd6pmf.4
title: Multimodal Hinglish Tweet  Dataset for  Deep Pragmatic Analysis

description: This dataset was meticulously curated to encapsulate tweets that vividly express raw emotions, sentiments, feelings, and textual gestures related to various situations of conflict. This includes, but is not limited to, wars, crises, civil unrest, and world wars I, II, III, etc. The fundamental objective of creating this dataset is to enable the development of digital applications capable of discerning the genuine emotional pulse of digitally empowered citizens. In essence, these tools aim to empower both the general public and government authorities with real-time insights into public sentiment, enhancing their understanding and responsiveness to critical situations.
DOI: 10.17632/bd423nskvc.1
title: Replication package for 'US trade policy and the US dollar'

description: Replication package for the paper "US trade policy and the US dollar"
DOI: 10.17632/v6cgykrs5x.1
title: Sustainability Strategy Data (1988-2020)

description: The Sustainability Strategy dataset, which was indexed Scopus from 1988 to 2020. The dataset contains data authors, authors ID Scopus, title, year, source title, volume, issue, article number in Scopus, DOI, link, affiliation, index keywords, reference, correspondence address, editors, publisher, conference name, conference data, conference code, ISSN, language, document type, access type, and EID.
DOI: 10.17632/bbc5ynn2bm.3
title: Dataset of study on the individual difference of sense of agency and learnability in sensorimotor adaptation

description: This is the raw data of the study on the individual difference in the sense of agency and learnability in sensorimotor adaptation. The excel file contains three tabs. The first tab contains participants' age and gender information, along with the exclusion. The second and third tabs contain the raw data of each trial of each participants in the control detection task and the reaching task. This dataset also contains the results from the six excluded participants (please see the main paper). All the statistical analyses were based on this dataset.
DOI: 10.17632/gj72pjfvb2.1
title: Winter Wheat Leaf Images Dataset

description: Wheat (Triticum aestivum) is one of the major crops which feed the population, but viruses, Bacteria, and Fungi have affected the crop. Nitrogen and chlorophyll are the main limiting factors in the growth of plants. They are also the most crucial parameters in managing agriculture.  Deficiencies of these two may cause lower or unhealthy production. Wheat leaf images contain lots of detail and texture information. Leaf color is correlated with nitrogen content, and detection of nitrogen content in leaves is important for guiding farmers in applying fertilizer. The dataset contains 1081 images of wheat leaves. This dataset was collected by an RGB camera using OnePlus Nord2 5G Android-based mobile device. The dataset is collected from different areas of the Jaipur district (Rajasthan, India). This dataset can be used to analyze the evolution of plant leaves and the basic functional mechanism of ecosystems from the perspective of compound leaves. This dataset is created to enable nitrogen deficiency detection using a deep learning-based approach.
DOI: 10.17632/65g4np9stj.1
title: Data for: "BARTOLUZZIO, A. I. S. S. Emendas Parlamentares e Domínio sobre o Orçamento Público: uma Análise da Relação Legislativo-Executivo no Brasil. Rio de Janeiro, 2024. Tese (Doutorado em Ciências Contábeis) – PPGCC/UFRJ, Rio de Janeiro, 2024"

description: Arquivos analisados para a Tese de Doutorado do discente Alann Inaldo Silva de Sá Bartoluzzio, defendida no Programa de Pós-Graduação em Ciências Contábeis da Universidade Federal do Rio de Janeiro. 

BARTOLUZZIO, Alann Inaldo Silva de Sá. Emendas parlamentares e domínio sobre o orçamento público: uma análise da relação Legislativo-Executivo no Brasil. Rio de Janeiro, 2024. Tese (Doutorado em Ciências Contábeis) – Programa de Pós-Graduação em Ciências Contábeis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, 2024.
DOI: 10.17632/t6s7pcdsyw.2
title: Data and programs for "Liquidity Regulation and Banks: Theory and Evidence"

description: Data and programs for "Liquidity Regulation and Banks: Theory and Evidence"
DOI: 10.17632/yp7xjg4zs3.2
title: Scopus Based Occupational Therapy Research (2001-2020)

description: This data is basically analysed from the Scopus database for the literature obtained in the discipline of occupational therapy. The data will be most useful for the beginners in the occupational therapy researcher, especially in terms of their publication.
DOI: 10.17632/f7hz367j9h.1
title: model weights

description: model weights of the proposed deep learning framework. The network was developed to detect left ventricular hypertrophy and distinguish three types of left ventricular hypertrophy (hypertensive heart disease, hypertrophic cardiomyopathy, cardiac amyloidosis).
DOI: 10.17632/rmdx86p9dg.1
title: BiFold: A Python code for the calculation of double-folded (bifold) potentials with density-in/dependent nucleon-nucleon interactions

description: BiFold calculates the density-dependent (DDM3Yn, BDM3Yn, CDM3Yn) or independent double-folded potentials between two colliding spherical nuclei. It is written in a Python package form to give the ability to use the potentials directly in a nuclear reaction/structure code. In addition to using Woods-Saxon/Fermi or Gaussian functions, the code also allows the definition of nuclear matter densities using pre-calculated densities in a data file. The manuscript provides an overview of the double folding model and the use of the code.
DOI: 10.17632/zwfdmp5syg.1
title: COVID-19 Fake News Dataset

description: This dataset consists of a collection of true and fake news related to COVID-19. The dataset consists of news between the period of December 2019- July 2020.
DOI: 10.15468/dl.uu3pm6
title: Occurrence Download

description: A dataset containing 584 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pittosporum tenuifolium Gaertn.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 584 records from 33 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009273-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/z4wc364g79.1
title: Unpaired MR-CT Brain Dataset for Unsupervised Image Translation

description: The Magnetic Resonance - Computed Tomography (MR-CT) Jordan University Hospital (JUH) dataset has been collected after receiving Institutional Review Board (IRB) approval of the hospital and consent forms have been obtained from all patients. All procedures has been carried out in accordance with The Code of Ethics of the World Medical Association (Declaration of Helsinki).

The dataset consists of 2D image slices extracted using the RadiAnt DICOM viewer software. The extracted images are transformed to DICOM image data format with a resolution of 256x256 pixels. There are a total of 179 2D axial image slices referring to 20 patient volumes (90 MR and 89 CT 2D axial image slices). The dataset contains MR and CT brain tumour images with corresponding segmentation masks. The MR images of each patient were acquired with a 5.00mm T Siemens Verio 3T using a T2-weighted without contrast agent, 3 Fat sat pulses (FS), 2500-4000 TR, 20-30 TE, and 90/180 flip angle. The CT images were acquired with Siemens Somatom scanner with 2.46mGY.cm dose length, 130KV voltage, 113-327 mAs tube current, topogram acquisition protocol, 64 dual source, one projection, and slice thickness of 7.0mm. Smooth and sharp filters have been applied to the CT images. The MR scans have a resolution of 0.7x0.6x5 mm^3, while the CT scans have a resolution of 0.6x0.6x7 mm^3.


More information and the application of the dataset can be found in the following research paper:

Alaa Abu-Srhan; Israa Almallahi; Mohammad Abushariah; Waleed Mahafza; Omar S. Al-Kadi. Paired-Unpaired Unsupervised Attention Guided GAN with Transfer Learning for Bidirectional Brain MR-CT Synthesis. Comput. Biol. Med. 136, 2021. doi: https://doi.org/10.1016/j.compbiomed.2021.104763.
DOI: 10.17632/wb3ndt69gf.3
title: Dataset from the US Peer-to-peer Lending Platform with Macroeconomic Variables

description: We aggregate the United States (US) state-level data with LendingClub's loan book covering the period from 2008–2019. LendingClub is a FinTech lending company that provides loans through technology-driven platform. It was one of the pioneering and leading US peer-to-peer (P2P) lending platforms. Our dataset consists of over two million observations (N=2,703,430) with diverse loan, borrowers and state specific features. We provide the description of variables, descriptive statistics, and STATA code with the full dataset. The US possesses significant cross-state variation in terms of economic and demographic characteristics while having risk-sharing policies in the federal level to protect states' creditworthiness. This unique feature of our combined database creates an ideal opportunity to explore the P2P lending market within the context of macroeconomic variables. As the dataset covers 12-year period for all US states, it enables further cross-sectional and longitudinal analyses of FinTech lending market.
DOI: 10.17632/c348gts9xx.3
title: Education Process before and after using AI tools 

description: Dataset shows how AI tools impact students’ learning experiences from different aspects like quality of learning process, the needed time for learning, stress level and their grades levels.
DOI: 10.17632/jmm8smf4sc.1
title: Fire Sale Risk and Expected Stock Returns (Aragon and Kim)

description: The data include realizations of the flow factor, returns of the high-minus-low fire sale exposure (FSE) portfolio, and stocks' FSE characteristics.
DOI: 10.17632/tmrs92j7pv.32
title: COVID-19: Time Series Datasets India versus World

description: This dataset consists of COVID-19 time series data of India since March 24th, 2020. The data set is for all the States and Union Territories of India and is divided into five parts, including i) Confirmed cases; ii) Death Count; iii) Recovered Cases; iv) Temperature of that place; and v) Percentage humidity in the region. The data set also provides basic details of confirmed cases and death count for all the countries of the world updated daily since 30 January 2020. The end user can contact the corresponding author (Rohit Salgotra : nicresearchgroup@gmail.com) for more details. . The Authors can Refer to and CITE our latest Papers on COVID: 1. Salgotra, Rohit, Mostafa Gandomi, and Amir H. Gandomi. "Time Series Analysis and Forecast of the COVID-19 Pandemic in India using Genetic Programming." Chaos, Solitons & Fractals (2020): 109945. 2. Salgotra, Rohit, Mostafa Gandomi, and Amir H. Gandomi. "Evolutionary modelling of the COVID-19 pandemic in fifteen most affected countries." Chaos, Solitons & Fractals 140 (2020): 110118. 3. Mousavi, Mohsen, et al. "COVID-19 Time Series Forecast Using Transmission Rate and Meteorological Parameters as Features." IEEE Computational Intelligence Magazine 15.4 (2020): 34-50. . [Dataset is updated Once a Week]
DOI: 10.17632/pgjvbwznk5.1
title: A Bills of Materials Dataset for Buildings Made of Mass Timber, Structural Steel, and Reinforced Concrete Using the 2021 International Building Code Provisions

description: This dataset compiles a bill of material for buildings in the United States made of mass timber (MT), structural steel (SS), and reinforced concrete (RC). The buildings are classified as IVA-18-story, IVB-12-story, and IVC-8-story and are designed in compliance with the International Building Code 2021 (IBC 2021). The Athena Impact Estimator for Buildings (IE4B) was used to generate the bills of material for the Environmental Impact Assessments for the reference study period (RSP) of 75 years (ASTM 2022; EN 2011) and to conduct the whole building life-cycle assessment (WBLCA). Additionally, bills of material and WBLCA for the RSP of 60 years were generated for sensitivity analysis. Due to one of the potential changes in the fire rating in the upcoming International Building Code 2024 (IBC 2024), an additional dataset for the buildings in the category IVB-12-story was created to perform sensitivity analysis to show the different WBLCA results.
DOI: 10.17632/2ccwgyf6cw.1
title: Integrated dataset of partial pressure of CO2 in the western Arctic Ocean from 1994 to 2020

description: This is an integrated dataset of sea surface partial pressure of CO2 (pCO2) measurements in the western Arctic Ocean from 1994 to 2020. The dataset was made by Dr. Di Qi and Dr. Yingxu Wu. This product is free to be used. Please cite this data set as: Qi, Di; Wu, Yingxu (2022), “Integrated dataset of partial pressure of CO2 in the western Arctic Ocean from 1994 to 2020”, Mendeley Data, V1, doi: 10.17632/2ccwgyf6cw.1.
DOI: 10.17632/n3cgckk6yx.2
title: Data for article: Economic Analysis of Heat Distribution Concepts for a small Solar District Heating System

description: This repository contains material specific to the article named in the title. 
The material includes input .dck files of the different simulation models for import into TRNSYS, including pipe calibration models and calculation sheets with values from the calibration simulation. 
Furthermore, there are some calculation sheets with economic calculations used for the life cycle costs and energy quantities used for the energy balance and sensitivity studies.
Some calculation reports from the cost calculation software Wikells are included, together with costs from tenders and price lists of manufacturers. 
Price quotes have been anonymised and the manufacturer product catalogues are not included, to avoid identification of the manufacturer. 
This because academic work should not contain information which may used for commercial purposes (e.g. use of academic work for marketing) or affect commercial conditions (e.g. disclosing information on price structure). 

Additional material, such as detailed model descriptions, method descriptions and calculations is available, from a related dataset from another article using the same system models, through the supplied link. 
This includes the calibration of the copper pipes used in the solar thermal system. 

Using the information supplied in the two repositories, it should be possible to get a proper understanding of the work done and to reproduce the results.
DOI: 10.17632/888nh3jfd6.2
title: Persistent and Transitory Components of Firm Characteristics 7

description: Part 7 of Dataset for replicating Persistent and Transitory Components of Firm Characteristics
DOI: 10.17632/nrbsxrk9mp.1
title: Ex-ST

description: Data generated by Expansion Spatial Transcriptomics (Ex-ST) using mouse hippocampus and olfactory bulb regions.
Standard Visium spatial gene expression dataset of mouse olfactory bulb.

Processed data folder contains both space ranger output files for each sample and 1 stereoscope output file containing spot deconvolution results for all samples.
DOI: 10.17632/smg7gw2xhz.1
title: Data for: Assessing reporting delays and the effective reproduction number: The 2018 Ebola epidemic in DRC, May-November, 2018

description: Data set made available contains data on the reporting delays for the submitted manuscript "Assessing reporting delays and the effective reproduction number: The 2018-19 Ebola epidemic in DRC, May 2018-January 2019". Data set contains 7 variables and 661 observations in total. Data has been extracted from the epidemic curves of the WHO situation reports and disease outbreak news using an online software, WebPlotDigitizer.
DOI: 10.17632/f4ky6ks248.3
title: Sen-2 LULC

description: The "Sen-2 LULC Dataset" is a collection of 2,13,750+ pre-processed 10 m resolution images representing 7 distinct classes of Land Use Land Cover. The 7 classes are water, Dense forest, Sparse forest, Barren land, Built up, Agriculture land and Fallow land. Multiple classes are present in the single image of the dataset. The Sentinel-2 images of Central India are taken from Copernicus Open Access Hub (https://scihub.copernicus.eu/) with cloud clover percentage ranging from 0 to 0.5%. The images are combination of bands B4, B3 and B2 constituting the red, green and blue bands with spectral resolution of 10m. The images are taken within the months of February and March 2021. The images used in the dataset belongs to Sentinel-2 Level-2A product (https://sentinels.copernicus.eu/web/sentinel/user-guides/sentinel-2-msi/product-types/level-2a#:~:text=The%20Level%2D2A%20product%20provides,(UTM%2FWGS84%20projection).). The dataset contains equal number of mask images. The dataset contains 6 folders with train, test and validate images and train, test and validate masks. This dataset can be used for Land Use Land Cover Classification (LULC) of Indian region to build the deep learning models. This dataset is beneficial for LULC classification research.
 [The related article is available at: Sen-2 LULC: Land use land cover dataset for deep learning approaches. Cite the article as : Sawant, S., Garg, R. D., Meshram, V., & Mistry, S. (2023). Sen-2 LULC: Land use land cover dataset for deep learning approaches. Data in Brief, 51, 109724, https://doi.org/10.1016/j.dib.2023.109724. ]
DOI: 10.17632/mhvsdwcnf5.1
title: Microbiota-Gut-Brain Axis Drives Overeating Disorders

description: Raw data of this paper
DOI: 10.17632/pt2v4rwwbh
title: Rio Grande Silvery Minnow PIT tag experimental data

description: Survival and retention of Rio Grande Silvery Minnow tagged with passive integrated transponder tags using various tagging techniques.
DOI: 10.17632/ppwdt849m9.1
title: Level of aflatoxins in dairy feeds, poultry feeds, and feed ingredients produced by feed factories in Addis Ababa, Ethiopia

description: Feed and Feed Ingredients Aflatoxins HPLC Raw Result and Chromatogram