cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/kxh42bfgtj.1
title: Data for: Analysis and modeling of calendar aging of a commercial LiFePO4/graphite cell

description: This data is from a comprehensive calendar aging study on a lithium-ion battery with a test duration of 29 months: Naumann, M. et al.; Analysis and modeling of calendar aging of a commercial LiFePO4/graphite cell; Journal of Power Sources (2020), Volume 451; DOI: 10.1016/j.jpowsour.2019.227666 This aging study was realized with a widely used commercial LiFePO4/graphite cell from Sony/Murata, which promises both long calendar and cycle lifetime, which is especially required for stationary battery applications. The development of the cells’ capacity, as well as the resistances, are shown in a static calendar aging study for 17 test points, each with 3 cells, having constant storage conditions of temperature and state of charge. Based on the measurement data, a semi-empirical aging model is presented for the capacity loss and resistance increase, consisting of only 5 parameters which are valid for all storage conditions. Due to limited space, only a selection of the 17 test points of the calendar aging study are evaluated in the paper. However, this dataset represents the data for evaluation of all 17 test points. The data is grouped into four files representing the different issues of evaluation as given in the section 'Experimental' in the paper.
DOI: 10.17632/2kgzz9n3xt.1
title: Dairy cow sound dataset

description: This dataset file is consisted by the feature values (spectral flatness, spectral centroid, spectral bandwidth, spectral roll-off, zero crossing, root mean square, fundamental frequency, MFCC, MFCC first-order difference, and MFCC second-order difference) of 681 non-oestrus sound samples and 472 oestrus sound samples derived from 8 dairy cows.
DOI: 10.17632/7w45jx35hd.1
title: Annotated underwater fish detection dataset from pond environments

description: Fish detection using computer vision is increasingly recognized as significant in aquaculture, particularly for monitoring and managing fish populations in small-scale settings. Traditional fish population assessment methods are invasive, labor-intensive, and often inaccurate, prompting the development of automated solutions using computer vision and deep learning. This dataset comprises annotated images of the Orange Chromide (Etroplus maculatus) fish species from ponds in Kolathur, Chennai. The videos were captured using a Crosstour CT9000 underwater camera at 60fps with 1-minute intervals. Recordings were made inside the pond at depths of less than 4 meters, covering a wide angle of approximately 135 degrees. The videos include various complexities such as occlusion, turbid water conditions, high fish density per frame, and natural lighting conditions. Keyframes were carefully extracted from these videos and formatted at 640x640 pixels in .jpg format. Each image was annotated in .txt format using the bounding box style. The annotated dataset comprises 586 images, divided into train (409), validation (118), and test (59) sets. This dataset offers a comprehensive and challenging set of images that reflects real-world conditions in South Indian ponds. The dataset can facilitate advancements in computer vision applications within aquaculture, including automated fish population monitoring, growth tracking, health assessment, and behavior analysis.
DOI: 10.17632/yvhgrxv2y9.1
title: REDD+: The Opportunity for Sustainable Management in Zagros Forests 

description: This file contains tables and figures related to REDD+ project research in the Zagros forests of   Iran  that aimed to evaluate the changes of forest cover of Lordegan cities located in Chaharmahal and Bakhtiari province, Iran using forest cover maps produced from Landsat satellites 5, 7 and 8 belonging to 1998, 2008 and 2018. Then, the potential for forest cover transfer to non-forest regions was modeled to identify the regions subject to deforestation using logistic regression model and Markov chain was used to predict changes. In addition, receiver operating characteristics (ROC) were used for validation..
DOI: 10.17632/fzh7pfpmmb.1
title: RISC Kinetic and Thermodynamic Data

description: We applied high-throughput methods to measure the association kinetics, equilibrium binding energies, and single- turnover cleavage rates of RISC. We find that RISC readily tolerates insertions of up to seven nucleotides in its target opposite the central region of the guide. Fit parameters for miR-21 and let-7a association, equilibrium binding, and cleavage are provided herein. These data were obtained from RNA-MaP and RISC Cleave-'n-Seq. Raw sequencing data is available on SRA.
DOI: 10.17632/2n7jt8mvgb.1
title: Incomplete lineage sorting and phenotypic evolution in marsupials

description: Data accompanying the manuscript "Incomplete lineage sorting and phenotypic evolution in marsupials" in Cell. In this paper, we performed comparative phylogenomic analyses in the marsupial lineage, a classic example of a successful mammalian radiation, to map and date signatures of ILS and to unravel some of the phenotypic consequences.

The dataset includes 
- Whole genome alignment of six marsupials generated by LASTZ+MULTIZ

- Monito del monte draft assembly (.fasta.gz) and gene annotation (.gff)

- table including 13,320 orthologs to be present in the gray short-tailed opossum, monito del monte, at least one Diprotodontia species, and at least one Dasyuromorphia species

- re-annotation of gene Wfikkn1 in Macropus eugenii: The published coding sequence of this gene in the tammar wallaby contains shifts and several very short exons. We ran Exonerate to re-annotate this gene using the pep sequence of this gene in the gray short-tailed opossum as the reference. Files, including gff, cds sequence and pep sequence, are provided.

- re-annotation of gene Wfikkn1 in Antechinus stuartii: ran Exonerate to re-annotate gene Wfikkn1 in Antechinus stuartii using the pep sequence of this gene in the gray short-tailed opossum as the reference. Files, including gff, cds sequence and pep sequence, are provided.

- re-annotation of gene PAPSS2 in Macropus eugenii: Due the assembly and annotation issue, the quality of the published coding sequence of this gene in wallaby is poor (e.g. containing a continuous 41bp Ns, an incomplete beginning, and a potential ~30bp annotation error). We manually corrected the sequence by mapping the published RNA-seq data and population re-sequencing data to its close species Macropus rufus genome. Files, including cds sequence and pep sequence, are provided.

- species name map list

- md5 for all files

- Morphological image
DOI: 10.17632/6wnmchnc6j.1
title: Datasets of social capital and business performance in the Nigerian informal sector

description: This dataset presents primary data on the the effect of social capital on business performance in the Nigerian informal economy. Primary data collection was carried out through a cross-sectional survey of 600 informal business owners within Ikeja Local Government Area (LGA), Lagos State, Nigeria. A simple sampling technique was further adopted in selecting the sample size of the study, and a close-ended questionnaire was adopted for the data collection process. Descriptive statistical analysis was performed using the Statistical Package for Social Sciences (SPSS) version 23. This data has the potential to be reused for full empirical research relating to social capital and business performance in emerging economies.
DOI: 10.17632/dkxpvp3xh7.1
title: Data for: Detection of cervical cancer cells based on strong feature CNN-SVM network

description: 1. Due to the large number of pictures, we just selected some of them for display. 2. Original negative sample and Original positive sample are raw data collected from our cooperative unit. We used 100 cervical liquid based cell slides in total, for the sake of simplicity, we have selected a positive and a negative sample for publication, so that you can see the appearance of our raw data which has not been processed. 3. Processed training material are the images which have been processed after binarization, image segmentation and image classification. This folder contains 400 epithelial cells , they are the images of single cells after a series of processes. epithelial cells has been divided into two categories including 200 cancerous epithelial cells and 200 normal epithelial cells, as the names you can see, these are the typical samples we used in the paper.
DOI: 10.17632/rcm9k9d2by.1
title: A class of secreted mammalian peptides with potential to expand cell-cell communication - Capped peptide detection

description: Using a hybrid computational-biochemical approach, we have demonstrated the endogenous presence of a large and sequence diverse class of orphan, blood-borne peptides that we call “capped peptides.” Capped peptides are post-translationally modified fragments of classically secreted proteins. They exhibit structural and regulatory characteristics similar to other signaling peptides, including N-terminal pyroglutamylation, C-terminal amidation, and cell type-specific expression. Circulating levels of capped peptides are dynamically regulated by internal physiologic states and external environmental stimuli. The data deposited here are the raw .d files from the initial detection of the capped peptides in mouse and human plasma, along with synthetic standards. We are also including the files from evaluating the peptides level under different physiologic conditions: fasting, high fat diet, LPS injection, aging, and exercise.
DOI: 10.17632/cbkzp5b8hb.1
title: Dataset for a Dynamic Multi-Period Vehicle Routing Problem

description: This dataset presents the information related to the instances used in the experimental study of the paper "Dynamic Multi-Period Vehicle Routing with Touting". It has two sets of instances. The first set of instances is related to the historical data of a waste collection company, which spans a three-month period, while the second instance set is generated based on VRPTW instances of Solomon (1987).

Within the first instance set, there is data for two different drivers, who cover different geographical areas, presented in separate excel files (Instances_Driver1.xlsx and Instances_Driver2.xlsx). Each dataset includes i) three-months historical collections data of the company, which is used to compare the heuristic solutions with the ones obtained by an exact solver; ii) the normal distribution parameters that represent the customers' demand profiles, which are used to create simulation instances used in the experimental study for touting strategies. These distributions are used to generate random demand on each planning day; iii) distances and travel times between each node in the network.

These information are stored in three sheets of the files. The details are explained in the attached file Instances_Explanation.txt.

Driver 1 and 2 have 142 and 125 unique customers, respectively. However, the historical data includes a total of 273 and 260 orders for Driver 1 and Driver 2, respectively, which means that some customers have multiple orders within that 3-month period. In addition, some of these orders belong to the customers who ordered for the first time, in which case the distribution parameters cannot be obtained due to lack of history. To mimic these customers, we have selected a subset of the unique customers and used their distributions to generate these extra customers' parameters. Finally, the set of customers includes 215 and 205 customers for Driver 1 and Driver 2, respectively.

The second instance set includes the data generated based on the VRPTW instances of Solomon (1987), specifically C101, R101, and RC101. The file Solomon-Based Instances.xlsx has three 3 sheets for each of these instances, which present the the normal distribution parameters representing the customers' demand profiles. More details are provided in the attached file Instances_Explanation.txt.

Finally, the problem parameters, such as vehicle capacity and time limits are provided in the file "Problem Parameters.txt".

References

Solomon, M. M. (1987). Algorithms for the vehicle routing and scheduling problems with time window constraints. Operations research, 35 (2), 254-265.
DOI: 10.17632/fcyy7s7fb7.2
title: Raw and processed data from Web of Science

description: The file "Processed data - SciMAT Project File" should be open using SciMAT. This is the file obtained after processing the raw data for co-word analysis. Co-word analysis has been carried out using this file and the settings in Table 2 from "Electrochemical corrosion study of biomaterials: a bibliometric study based on co-word analysis (2013-2021)".

Raw data folder includes search results from Web of Science in ".txt" format. These are the unprocessed results obtained using the search query in Table 1 from "Electrochemical corrosion study of biomaterials: a bibliometric study based on co-word analysis (2013-2021)".
DOI: 10.17632/x84p2g3k6z.1
title: Guava Leaves and Fruits Dataset for Guava Disease Recognition through Machine Learning and Deep Learning

description: (1) Plant diseases are the primary cause of reduced productivity in agriculture, which results in economic losses. Guava is an important source of nutrients like vitamin C in plants all around the world. Guava  diseases, on the other hand, have a negative impact on Guava fruit productivity in terms.
(2) Computer vision and Image processing have significant impact on the recognition of various diseases in plants and fruits.
(3) The dataset contains the image of Guava leaves and fruits which are affected along with disease-free that can be utilized to develop an automated system for the researchers to predict the diseases in guava plants. The dataset is comprised with four diseases of guava namely Phytopthora, Red Rust, Scab, and  Styler and Root. Besides the disease-free leaves are also attached with the dataset. 
(4) Two types of datasets are included here one is the original dataset (a total of 527 images) and another is augmented dataset (a total of 4899 images) . Each image contains a generalized dimension of 512*512. 
(5) With the help of the domain experts and plant research center, the images have been collected manually from guava garden of Bangladesh Agriculture University, Mymensingh, Dhaka, Bangladesh.
DOI: 10.17632/9yzdnng594.1
title: Eye Blink Detection

description: Non-frontal video recording for left eye monitoring inside VR-headset to detect eyeblinks. Additionally, an annotation file was attached. the annotation file could be used to evaluate future similar algorithms
DOI: 10.17632/dmjfztbc4y.3
title: Replication package for “A Multifactor Perspective on Volatility-Managed Portfolios”

description: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Replication files for ``A Multifactor Perspective on Volatility-Managed Portfolios''
by Victor DeMiguel, Alberto Martin-Utrera, and Raman Uppal. 
Forthcoming in The Journal of Finance
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
DOI: 10.17632/f33w9wmng4.1
title: Wysong et al. JAAD 2020. Supplemental Methods and Data. Validation of a 40-Gene Expression Profile Test to Predict Metastatic Risk in Localized High-Risk Cutaneous Squamous Cell Carcinoma

description: These are the supplemental methods and data for the manuscript titled, "Validation of a 40-Gene Expression Profile Test to Predict Metastatic Risk in Localized High-Risk Cutaneous Squamous Cell Carcinoma" accepted for publication in the Journal of the American Academy of Dermatology in April 2020. Wysong et al. describe the development and validation of a gene expression profile able to predict regional and distant metastasis from primary formalin-fixed paraffin-embedded tissue cutaneous squamous cell carcinoma.
DOI: 10.17632/fhhcrxmtnr.1
title: Data for: Socio-Climate related risks and vulnerabilities: A case of poor urbanites in Lusaka, Zambia.

description: Raw data of 320 interviews conducted in Bauleni and Misisi Residential areas of Lusaka , Zambia.
DOI: 10.17632/4tt953xwk2.3
title: Bengali Colloquial Dataset of Primary Medical Issues for Improving Health System

description: This dataset has been created for our country, Bangladesh where people will get help from it. This dataset is for the medical specialist classification and Bengali Named Entity Recognition which will play a vital role in multi-purpose.
DOI: 10.17632/jykt6862s4.3
title: Bee and non-bee dataset

description: We 6,332 images from iNaturalist platform  (https://www.inaturalist.org). We have trained two AI models. One is to classify bee-vs-nonbee insects and another one to classify Bumble bee vs Non-bumble bee insects. These images were used to train, validate and test our AI models.
DOI: 10.17632/4swmy34scp.5
title: Large Scale Anonymized EPDS Data for Prenatal Women in Selected hospitals in Uganda

description: This dataset contains EPDS scores along with demographic data for a large sample of prenatal women. EPDS stands for Edinburgh Postnatal Depression Scale and is a well established tool for depression screening. EPDS was originally developed for postnatal depression but it has also been validated for other forms of depression including prenatal depression. The EPDS contains 10 questions with 4 possible response. The responses are scored from 0-3. This means it has a minimum score of 0 and a maximum possible score of 30 over all 10 questions. The data was collected from 11 hospitals within Kampala between January 2022 and April 2022 using an Android app implementation of EPDS with real-time transmission to a remote database. The data contains 1320 entries in a single .csv file
DOI: 10.17632/9ct8hb34yn.2
title: Pypip packages. Their vulnerabilities and dependencies

description: This dataset is built from two key sources: the PyPi JSON Data repository and the Python Packaging Advisory Database. It aims to support the study of supply chain attacks in the PyPi ecosystem for a university project.

The PyPi JSON Data provides detailed metadata on Python packages, including their names, dependencies, and basic vulnerability information. Meanwhile, the Python Packaging Advisory Database offers security alerts, linking packages to known vulnerabilities through CVE identifiers.

The goal of this dataset is to simplify the analysis of supply chain attacks, where vulnerabilities in one package can propagate through dependencies, potentially affecting thousands of users. To keep the focus on broader patterns, package versions are not tracked—a decision that reduces complexity and allows for a more accessible study of how vulnerabilities spread throughout the ecosystem.

By combining package metadata and security data, this dataset offers a powerful tool for examining risks within the PyPi ecosystem, supporting research into one of today's most significant challenges in software security.
DOI: 10.17632/mbvhhf8m62.2
title: Developmental heart - filtered and unfiltered count matrices and meta tables

description: Filtered and unfiltered scRNA-seq and ST count matrices and meta tables from the article: Asp M. et al. A spatiotemporal organ-wide gene expression and cell atlas of the developing human heart. Cell. 2019 Dec 12;179(7):1647-1660.e19. doi: 10.1016/j.cell.2019.11.025
DOI: 10.17632/nkrfxtbrmc.2
title: Protocol R code

description: R script to generate Figure 3B in Cid, Marquez-Galera et al., (2021) (https://doi.org/10.1016/j.celrep.2021.109229).
DOI: 10.17632/7chdr568x7.1
title: Egyptian Stock Exchange (EGX)

description: This study is based on the historical data for some of the indicators on the Egyptian Stock Exchange (EGX), in order to build a prediction model with high accuracy. Data used in this study are purchased from Egypt for Information Dissemination (EGID) which is a Governmental organization that provides data for EGX. The data contain six stock market indices; for example, EGX-30 index local currency is used for interest estimates and denominated in US dollars. It measures top 30 firms in liquidity and activity. The second index used in this study is EGX-30- Capped which is designed to track performance of the most traded companies in accordance with the rules set for mutual funds. The third index is EGX-70 which aims at providing wider tools for investors to monitor market performance. EGX-100 index as a forth dataset evaluates performance of the 100 active firms, including 30 of EGX- 30 index as well as 70 of EGX-70 index. NIlE index avoids concentration on one industry and therefore has a good representation of various industries/sectors in the economy, and the index is weighted by market capitalization and adjusted by free float. The last index is EGX-50-EWI which tracks top 50 companies in terms of liquidity and activity. The index is designed to balance the impact of price changes among the constituents of the index as they will have a fixed weight of 2% at each quarterly review.
DOI: 10.17632/b7nfbz4xfp.1
title: Protein construct sequences for "Folding and Domain Interactions of three orthologues of Hsp90 studied by single molecule force spectroscopy"

description: Protein sequences for the optical trapping constructs used in the paper "Folding and Domain Interactions of three orthologues of Hsp90 studied by single molecule force spectroscopy" (reference to follow)