cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/992mh7dk9y.2
title: insurance_claims 

description: The dataset, named "insurance_claims.csv", is a comprehensive collection of insurance claim records. Each row represents an individual claim, and the columns represent various features associated with that claim. 

The dataset is, highlighting features like 'months_as_customer', 'age', policy_number, ...etc. The main focus is the 'fraud_reported' variable, which indicates claim legitimacy.

Claims data were sourced from various insurance providers, encompassing a diverse array of insurance types including vehicular, property, and personal injury. Each claim's record provides an in-depth look into the individual's background, claim specifics, associated documentation, and feedback from insurance professionals.

The dataset further includes specific indicators and parameters that were considered during the claim's assessment, offering a granular look into the complexities of each claim.

For privacy reasons, and in agreement with the participating insurance providers, certain personal details and specific identifiers have been anonymized. Instead of names or direct identifiers, each entry is associated with a unique ID, ensuring data privacy while retaining data integrity.

The insurance claims were subjected to rigorous examination, encompassing both manual assessments and automated checks. The end result of this examination, specifically whether a claim was deemed fraudulent or not, is clearly indicated for each record.
DOI: 10.17632/wtf2gzzg6g.1
title: SDoH of patients with AMHC presenting to the ED
DOI: 10.17632/xvmcmngkjw.1
title: Design Attributes Learning

description: This dataset contains design attributes collected for 15K websites. It was created in Tel Aviv University for Design Learning applications. The data was extracted using advanced web scraping techniques. This is a skewed dataset - 510 of the websites were classified as 'Malicious' (y=1) based on GSB API and the rest are benign (y=0).
DOI: 10.17632/3tdp9h8hds.2
title: Power, corruption, and cultural orientation

description: These are materials and original data of the manuscript: Individualistic Powerfulness and Collectivistic Powerlessness Corrupts: How Power and Cultural Orientation Influence Corruption.
DOI: 10.17632/7rn3pknf5s.1
title: Deep Learning Models

description: The code and instructions for its execution can be found in Supplementary Material file Code.zip in the file “segmentation.ipynb”. “.ipynb” is an extension of jupyter notebook. Jupyter – is a python package, which is installed by default in Anaconda distribution https://www.anaconda.com/distribution/ . After installation it can be accessed from command line by typing: “jupyter notebook”.
DOI: 10.17632/rjykr62kdh.1
title: Banana Leaf Disease Images

description: Huge data is one of the required resources in deep learning research to train, validate and test CNN model and get better accuracy, prediction and detection. In our study we have prepared a banana plant leaf image dataset that is used for the ‘banana disease detection’ research. It is collected from Southern Nations, Nationalities, and Peoples' Regional State Arbaminch Zuria Woreda Lante kebele and Chano kebele and Gamugofa Zone Mierab Abaya Woreda Omolante kebele where banana is widely producing area and the infection of Xanthomonas wilt and Segatoka leaf spot disease is highly observed. The data is collected from four farmers a size of one hectare farm each in three kebeles. During the data collection, the daily collected data were identified “health” or “infected” by both type of diseases. The labeled data by the first plant pathologist is verified and confirmed by the second one to make sure the quality of the collected data. Finally, the collected image was correctly labeled with three classes.   
Collecting images of banana plant leaf in thousands is too difficult. The researcher collects 1,288 pictures of banana leaf under three categories as “Health” banana leaf, “Xanthomonas” infected leafs and “Sigatoka” infected leafs.
DOI: 10.17632/xjtv62ncwr.1
title: Genome-wide Spatial Expression Profiling in Formalin-fixed Tissues: Supplementary Data

description: Supplementary data for the study "Genome-wide Spatial Expression Profiling in Formalin-fixed Tissues". The data.tar.gz archive contains: processed data files from 10x Visium experiments, immunofluorescence images and cell type proportion estimates generated with stereoscope. Scripts and rmarkdown files are available in the doc.tar.gz archive to run computational analyses related to the manuscript.

data:
1	annotation/ - files used for gene symbol conversion
2	archivalcancer/ - spatially resolved transcriptomics data from FFPE archival soft tissue carcinoma (generated with spaceranger v1.0.0)
3	HGSC/ - spatially resolved transcriptomics data from FFPE High Grade Serous Carcinosarcoma, HGSC (generated with spaceranger v1.0.0)
4	immunofluorescence/ - raw images (TIF format) of immunostaining with a SARS-CoV-1 antibody and DAPI staining
5	kidneyorganoid/ - spatially resolved transcriptomics data from PFA fixed kidney organoids (generated with spaceranger v1.0.0)
6	lung_SARS-CoV-2/- spatially resolved transcriptomics data from FFPE lung tissue infected with SARS-CoV-2 (generated with spaceranger v1.0.0)
7	lungcellmarkers/ - table of DE genes from Lung cell atlas
8	lungorganoid/ - spatially resolved transcriptomics data from PFA fixed lung organoids (generated with spaceranger v1.0.0)
9	mousebrain/- spatially resolved transcriptomics data from FFPE mousebrain (generated with spaceranger v1.0.0)
10	registration/ - image registration related data objects generated with the wholebrain workflow
11	stereoscope/ - cell type proportions estimates through cell type mapping with stereoscope


doc:
1	archival.Rmd - code for QC of archival samples
2	biotype_content_mouse_brain_data.Rmd - code for calculating and visualizing biotype content
3	fromHE_extended_FF.R - script to register FF coronal brain ection to the Allen Mouse Brain Atlas using the wholebrain workflow
4	fromHE_extended_FFPE.R - script to register FFPE coronal brain section to the Allen Mouse Brain Atlas using the wholebrain workflow
5	global_functions_segmentation.R - functions required for nuclei segmentation
6	global_functions.R - functions required for registration
7	HGSC.Rmd - analysis of FFPE High Grade Serous Carcinosarcoma (HGSC) tissue data 
8	Kidney_organoids.Rmd - analysis of PFA Kidney organoids Visium data
9	Lung_organoids.Rmd - analysis of PFA Lung organoids Visium data
10	Lung_tissue_Covid19.Rmd - analysis of FFPE Lung tissue infected with Covid19 Visium data
11	mouse_brain_multiple_sections.Rmd - joint analysis of 7 FFPE mouse brain (coronal) tissue sections Visium data
12	mouse_FFPE_vs_FF.Rmd - comparison of Visium data obtained from FFPE and FF tissue (coronal mouse brain tissue sections)
13	QC_metrics_by_age.Rmd - analysis and visualization of QC over storage time
14	segmentation_of_SARS-Cov-1.Rmd - simple nuclei segmentation of DAPI stain

images:
High resolution Hematoxylin and Eosin stained bright field images in JPG format.
DOI: 10.17632/bhhm9tngz5.1
title: Data for: The effect of preoperative single shot Erector spinae plane vs. Paravertebra Block on patient-controlled oxycodone consumption after Video-Assisted Thoracic Surgery: a prospective non-inferiority study

description: a prospective randomized non-inferiority study about ESPB vs. PVB in VATS.
DOI: 10.17632/rvhshnngft.1
title: Data for: Manufacturing growth and the lives of Bangladeshi women

description: Abstract of associated article: We study the effects of explosive growth in the Bangladeshi ready-made garments industry on the lives on Bangladeshi women. We compare the marriage, childbearing, school enrollment and employment decisions of women who gain greater access to garment sector jobs to women living further away from factories, to years before the factories arrive close to some villages, and to the marriage and enrollment decisions of their male siblings. Girls exposed to the garment sector delay marriage and childbirth. This stems from (a) young girls becoming more likely to be enrolled in school after garment jobs (which reward literacy and numeracy) arrive, and (b) older girls becoming more likely to be employed outside the home in garment-proximate villages. The demand for education generated through manufacturing growth appears to have a much larger effect on female educational attainment compared to a large-scale government conditional cash transfer program to encourage female schooling.
DOI: 10.17632/nmwsrpd738.1
title: Biodiversity differentials between seagrass and adjacent bare sediment change along an estuarine gradient.

description: Abundance of individual component taxa sampled in 2021/2022 in 20 core samples (each 0.0054 m^2) in (a) seagrass and in (b) adjacent bare sediment at 2 replicate sites from various localities in the Knysna estuarine bay
DOI: 10.17632/b5mj79w5w9.1
title: LG 18650HG2 Li-ion Battery Data

description: The included tests were performed at McMaster University in Hamilton, Ontario, Canada by Dr. Phillip Kollmeyer (phillip.kollmeyer@gmail.com). If this data is utilized for any purpose, it should be appropriately referenced. A brand new 3Ah LG HG2 cell was tested in an 8 cu.ft. thermal chamber with a 75amp, 5 volt Digatron Firing Circuits Universal Battery Tester channel with a voltage and current accuracy of 0.1% of full scale. The tests can be used to test Neural Network and Kalman Filter State of Charge algorithms, or to develop battery models, and are intended to be a reference so researchers can compare their algorithm and model performance for a standard data set. The test data, or similar data, has been used for some publications, including: Vidal, C., Gross, O., Malysz, P., Kollmeyer, P., Emadi, A. and Naguib, M. (2020). Robust xEV Battery State-of-Charge Estimator Design using Deep Neural Networks. [online] Sae.org. Available at: https://www.sae.org/publications/technical-papers/content/2020-01-1181/ [Accessed 28 Jan. 2020]. C. Vidal, P. Kollmeyer, E. Chemali and A. Emadi, "Li-ion Battery State of Charge Estimation Using Long Short-Term Memory Recurrent Neural Network with Transfer Learning," 2019 IEEE Transportation Electrification Conference and Expo (ITEC), Detroit, MI, USA, 2019, pp. 1-6.
DOI: 10.17632/p3g9km7mh5.2
title: Replication Codes for "Climate Transition Risk and the Role of Bank Capital Requirements"

description: Codes to replicate the results in "Climate Transition Risk and the Role of Bank Capital Requirements" accepted at Economic Modelling.
DOI: 10.17632/9w3ygbysb3.1
title: The impact of the role of parents on the learning of students with intellectual disabilities

description: The survey data were obtained from several educational institutions located in the canton of Quito, specifically in the North Educational District. These institutions are part of the local educational system, and the data collection was carried out with the objective of obtaining a representative sample of families whose children have intellectual disabilities. This institutional diversity allows the results to reflect the experiences and perspectives of parents in different educational and socio-economic contexts within the North Educational District.
DOI: 10.17632/4k67zvw67g.1
title: High-Resolution 1H NMR of Powdered Solids by Homonuclear Dipolar Decoupling - Supplementary Material

description: This folder contains the supplementary material of: Paruzzo, F.M and Emsley, L., High-Resolution 1H NMR of Powdered Solids by Homonuclear Dipolar Decoupling, J. Magn. Res. 2019. (https://doi.org/10.1016/j.jmr.2019.106598) This paper focuses on the comparison of experimental performance of homonuclear dipolar decoupling schemes, and it provides guidelines for the optimization of such experiments. This folders contains all the raw data of the experiments shown in the manuscript, as well as all the Bruker "au" and pulse programs necessary for the implementation of such experiments.
DOI: 10.17632/fb4khrxvry.1
title: Impact of US-China Trade War on Graduate School Selection Survey Results

description: The research suggests that Chinese students' motivations for attending graduate school in this US are not strongly influenced by the US-China trade war. Survey was taken by Chinese undergraduate and recently graduated students from universities in Henan, China. Survey was voluntary and could be taken in Chinese or English based on the respondent's choice. After the initial demographic questions and interest in studying abroad, students were asked to select their value on a five-point scale of 1- extremely important, 2- very important, 3- moderately important, 4- somewhat important, 5- not important at all.
DOI: 10.17632/czfy95mbdk.1
title: Data on Racial and Gender Diversity of Student and Faculty in Construction Education

description: The degree completion or student graduation data from 2011 to 2021 from the construction-related programs were retrieved from the degrees awarded module of the Integrated Postsecondary Education Data System (IPEDS). In addition, the faculty information and student enrollment data with race, gender, degree level (Undergraduate, Master's, Doctoral), and academic rank (Assistant, Associate, and Full professor) from 2019 to 2021 were retrieved from an online data portal provided by ASEE.
DOI: 10.17632/n3snmnwkwf.1
title: Data for: Thermodynamic and Kinetic Study on the Catalytic Epoxidation of Allyl Chloride with H2O2 by New Catalyst [(C18H37)2(CH3)2N]3{PO4[W(O)(O2)2]4}

description: The uploaded pictures are all the experimental data in the article.
DOI: 10.17632/7k3jk7k9j2.1
title: Data for: DropletSMOKE: a comprehensive multiphase CFD framework for the evaporation of multidimensional fuel droplets

description: OpenFOAM code of the DropletSMOKE solver, written in C++
DOI: 10.17632/2y4m97b7dc.1
title: Moroccan Darija Offensive Language Detection Dataset

description: The Moroccan Darija offensive language detection dataset is a human-labeled dataset consisting of a set of Moroccan Darija sentences for offensive language detection. The dataset contains 20,402 sentences and their corresponding binary labels: 0 for a non-offensive sentence and 1 for an offensive sentence. The sentences were gathered from Twitter and YouTube comments and are written in both Latin and Arabic scripts. Inoffensive sentences account for 62.2% (12,685 sentences), while offensive sentences account for 37.8% (7,717 sentences). This contribution addresses the scarcity of labeled datasets for Moroccan Darija and provides a resource for natural language processing researchers interested in Moroccan Darija, particularly offensive language and sentiment analysis tasks.
DOI: 10.17632/tjm3yjs3pc.1
title: Combining thermodynamics with tensor completion techniques to enable multicomponent microstructure prediction -- codes

description: This dataset contains the codes and input data used to generate the results presented in the paper "Combining thermodynamics with tensor completion techniques to enable multicomponent microstructure prediction", Yuri Amorim Coutinho, Nico Vervliet, Lieven De Lathauwer, Nele Moelans", in npj Computational Materials (doi: 10.1038/s41524-019-0268-y). The codes assume the use of MATLAB in combination with the TC toolbox (ThermoCalc) and Tensorlab (https://www.tensorlab.net/). You can find more information in the readme.txt scripts included in the dataset.
DOI: 10.15468/dl.xe4ep4
title: Occurrence Download

description: A dataset containing 939 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Pimenta dioica (L.) Merr.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 939 records from 92 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009183-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/cchm8w64xd.1
title: Regulatory Compliance Theory of Diminishing Returns

description: These databases support the regulatory compliance theory of diminishing returns by clearly demonstrating in the studies conducted utilizing these data the plateau effect with regulatory compliance data when compared to program quality data in early child care and education programs.  These studies were conducted between 2013 and 2021.  These studies demonstrate the significance of substantial regulatory compliance and the impact it has on making licensing decisions.  These studies support the use of differential monitoring, key indicators and risk assessment methodologies.
DOI: 10.17632/gjhf5y4xjp.3
title: AI & Big Data Global Surveillance Index (2022 updated)

description: This index compiles empirical data on AI and big data surveillance use for 179 countries around the world between 2012 and 2022— the bulk of the sources are found between 2017 and 2022. The index does not distinguish between legitimate and illegitimate uses of AI surveillance techniques. Rather, the purpose of the research is to show how new surveillance capabilities are transforming governments’ ability to monitor and track individuals or groups. Last updated March 2022.

This index addresses three primary questions: Which countries have documented AI and big data public surveillance capabilities? What types of AI and big data public surveillance technologies are governments deploying? And which companies are involved in supplying this technology?

The index measures AI and big data public surveillance systems deployed by state authorities, such as safe cities, social media monitoring, or facial recognition cameras. It does not assess the use of surveillance in private spaces (such as privately-owned businesses in malls or hospitals), nor does it evaluate private uses of this technology (e.g., facial recognition integrated in personal devices). It also does not include AI and big data surveillance used in Automated Border Control systems that are commonly found in airport entry/exit terminals. Finally, the index includes a list of frequently mentioned companies – by country – which source material indicates provide AI and big data surveillance tools and services. 

All reference source material used to build the index has been compiled into an open Zotero library,  available at https://www.zotero.org/groups/2347403/global_ai_surveillance/items. The index includes detailed information for seventy-seven countries where open source analysis indicates that governments have acquired AI and big data public surveillance capabilities.  The index breaks down AI and big data public surveillance tools into the following categories: smart city/safe city, public facial recognition systems, smart policing, and social media surveillance.  

The findings indicate that at least seventy-seven out of 179 countries are actively using AI and big data technology for public surveillance purposes:

•	Smart city/safe city platforms: fifty-five countries
•	Public facial recognition systems: sixty-eight countries
•	Smart policing: sixty-one countries
•	Social media surveillance: thirty-six countries
DOI: 10.17632/hdcdn56j5g.1
title: The dataset of studies concerning policy issues in Covid-19 pandemic

description: The dataset contains 384 records of studies concerning policy issues in Covid-19 pandemic. The information was extracted from the Scopus database. Data were limited to English articles of the social sciences area, published from the 1st day of 2020 to September 10, 2020.
DOI: 10.17632/7fh2957bkz.1
title: Evaluating the Adequacy of Public Open Space for the Residents of Subdivisions in Cabanatuan City Central Business District

description: Public Open Spaces (POS) and Urban Green Spaces (UGS) are vital elements of the urban milieu, providing recreational opportunities and enhancing residents’ quality of life. However, in some localities in the Philippines such as the City of Cabanatuan particularly in its inner-city was considered as the urban congested core that caused the city to lack POS and UGS. A mixed methods approach was considered for data collection, including the study of the utilization pattern of residents, and measuring the actual space allocated for POS of each subdivision. According to the results, Cabanatuan City has only 3.6 square meters of POS per person, indicating a shortfall comparable to Manila’s score in GCI. With a growing population and demand for open space, Cabanatuan City would need to provide at least 114.7 hectares of land designated for POS to achieve a good and healthy environment for its residents.
DOI: 10.17632/nfbjphjvkn.1
title: Forward & Inverse Kinematics Solution of 6-DOF Robots Those Have Offset & Spherical Wrists - Supplementary Data

description: This supplemental dataset is part of the paper published under "Forward & Inverse Kinematics Solution of 6-DOF Robots Those Have Offset & Spherical Wrists"  and contains forward and inverse interactive calculation sheets for 6-DOF robots those have offset & spherical wrists. The interactive calculations sheets are in two format; SMath & Excel. SMath is free mathematical program with WYSIWYG editor and Excel is well know spreadsheet program both or either of them can be conveniently obtained. The aim of providing these files in dataset is that; a) verification to what is published, b) create solid foundation for the future studies, c) establish fast and better understanding conveniently for both forward & especially for inverse kinematics solution.