cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/rc47y6m9mp.2
title: scRNA-seq data in ovarian cancer

description: Ovarian cancer (OC) is an aggressive gynecological tumour usually diagnosed at a late stage with widespread metastases and ascites. We depicted a single-cell landscape of OC ecosystem with five tumour-relevant sites: peripheral blood (PB), pelvic lymph node (PLN), primary tumour (Pri.OT), omentum metastasis (Met.Ome), and malignant ascites. Intercellular tissue dynamics of certain T cells, like GZMK+ effector memory T cell (Tem) and exhausted T cell (Tex), revealed potential roles of ascites as a pool for tumour-infiltrating T cells. Of the macrophages in tumours and ascites that exhibited distinct functional states, ascites-enriched macrophages were more of embryonic origin. For stromal cells in ascites, DES+ mesothelial cells account for the majority and help remodel its immune microenvironment. Further, we identified two endothelial subsets in primary tumours and one MAIT cluster in ascites predicting the responses to platinum-based chemotherapy of OC patients. Our study provides additional insights for ascites ecosystem and its connection with other tumour-relevant tissues, as well as potential markers for efficacy evaluation and therapies overcoming resistance in OC.
DOI: 10.17632/xbt7scz5ny.3
title: PCSTCOL: Power consumption data from an area of southern Colombia

description: Herein, we introduce a dataset concerning electric-power consumption-related features registered in seven main municipalities of Nariño, Colombia, from December 2010 to May 2016. The dataset consists of 4427 socio-demographic characteristics, and 6 power-consumption-referred measured values. Data were fully collected by the company Centrales Eléctricas de Nariño (CEDENAR) according to the client consumption records. Power consumption data collection was carried following a manual procedure wherein company workers are in charge of manually registering the readings (measured in kWh) reported by the electric energy meters installed at each housing/building. Released data set is aimed at providing researchers a suitable input for designing and assessing the performance of forecasting, modelling, simulation and optimization approaches applied to electric power consumption prediction and characterization problems. The data set, so-named in shorthand PCSTCOL, is freely and publicly available at https://doi.org/10.17632/xbt7scz5ny.2
DOI: 10.17632/4kb39tg8gj.1
title: Metabolomics data sets in the mouse cecal contents

description: The present study was GV-971 (400 mpk, HG) pretreatment of caerulein and lipopolysaccharide-induced severe acute pancreatitis (SAP) mice and the study was divided into three groups (n = 8/group), control group (CON), model group (SAP), and treatment group (HG+SAP). The data used mouse cecal contents as the samples to detect the intestinal metabolites.
DOI: 10.17632/hr5h2hcgg4.6
title: Chorological data for the main European woody species

description: The data are organized as a set of ESRI shapefiles (*.shp, *.shx, *.dbf, *.prj files) mapping the distribution ranges of the main European tree and shrub species. For each species and in some cases subspecies, one or more shapefiles have been created containing: a) polygon features (name suffix “plg”), which define continuous areas of occupancy of the species range and b) point features (name suffix “pnt”), which identify more fragmented and isolated populations. For species with reported synanthropic occurrences outside the natural range, an additional point and/or polygon shapefile has also been created (suffix “syn”). The polygon borders delimiting the range have been generalized across the mainland and sea boundaries. Clipping to a specific coastline has been avoided, as this can vary considerably in its geometry depending on scale and precision of the respective source. This offers the possibility to mask sea areas, or to clip and extract the species’ terrestrial range parts using GIS data layers of the users’ choice. Finally, an accompanying text document is included with the data, which provides more details on methodology and a list of all mapped species with related file names, taxonomical delimitation of the mapped species and references used to compile the respective chorological dataset.
DOI: 10.17632/cw4hkpygtn.1
title: Creative Responses to Climate Change: How Corporate ESG Ratings Reflect Environmental Adaptation and Innovation

description: This study, a meticulous analysis of 4,811 companies' Environmental, Social, and Governance (ESG) ratings from 2018 to 2021, ventures into the uncharted intersections of corporate sustainability, creative environmental stewardship, and climate anomalies.
DOI: 10.17632/6r6mx9tfh7.1
title: Data for: Sex differences in humor production ability: A meta-analysis

description: Coding of all studies including the moderators.
DOI: 10.17632/n2v49z2vnp.2
title: Real life data for operating room scheduling problem

description: This data is captured from OR log in Gent UZ during May 2017. The data is in HTML Format. It starts with a visual description of the waiting list.  The rest of the data is encapsulated in the related object (e.g. patient, surgeon, ...). 
For validation dataset, we have created two different datasets containing 40 instances captured from the operating room log in 2021. Please find the related dataset below in the related link section. 
The information related to the MIP models, setting description, and experiments are reported in a paper, A study on policy decisions to embed flexibility for reactive recovery in the planning and scheduling in operating rooms, currently under revision Journal OMEGA
DOI: 10.17632/89knymm2n2
title: miR-628-3p exerts a carcinogenic effect on hepatocellular carcinoma

description: Here, we evaluated the effect of miR-628-3p on HCC proliferation by in vitro proliferation assay and xenograft tumor model. Flow cytometry was used to monitor the cell cycle and apoptosis of HCC cells. Quantitative real-time polymerase chain reaction (qRT-PCR) and western blot (WB) were used to determine the expression of each gene.
DOI: 10.17632/6v8xhwpbvd.1
title: The Bulletin of Earthquake and Tsunami of The Ambon Geophysical Station in 2019

description: The Bulletin of Earthquake and Tsunami of The Ambon Geophysical Station in 2019 “Buletin Gempabumi dan Tsunami Stasiun Geofisika Ambon Tahun 2019” is an annual bulletin resulted from the observatory, analysis, and processing from earthquake and Tsunami events in the region of Maluku Province carried out by Ambon Geophysical Station of BMKG, Indonesia in 2019. This bulletin provides information about earthquake events and Tsunami in the form of statistical data, catalog data, and also detailed information about significant and destructive events that occurred in 2019.
DOI: 10.17632/8kcy8thb59.1
title: Dataset_Effect of the U.S. quantitative easing policy on institutional investor flows of an emerging country
DOI: 10.17632/yxdw47555s.2
title: Adaptation to compound climate risks: a systematic global stocktake

description: This is a sub-set of articles selected from the Global Adaptation Mapping Initiative based on their evidence of adaptation-related responses to compound climate change impacts/events. The columns include coding conducted by the review team in order to publish a paper on the state of knowledge for human responses to compound climate events.
DOI: 10.17632/2b28sr4mm3.4
title: Videos small three-dimensional (3D) regional forgery detection
DOI: 10.17632/jc6mjmf29s.1
title: Research on E-Commerce as per Scopus Database as at October 2020

description: This is a dataset that has been obtained from the Scopus database as of 7 October 2020. This dataset is gathered based on the following search query: TITLE ( "e-commerce" OR "electronic commerce" OR "e commerce" OR "ecommerce" ). It can be used to map the research on e-commerce using bibliometrics analysis from 1992 until 2020. There are 9 parts of this dataset and it has been prepared in CSV and RIS format. The data in CSV format can be opened and analysed using applications such as Microsoft Excel. It also can be opened using VOSviewer for constructing and visualizing bibliometric networks. While the data in RIS format can be opened using any reference manager software such as EndNote or Mendeley Desktop and Harzing's Publish or Perish to be further analysed.
DOI: 10.17632/hhx628p2x6.1
title: Building Stronger Partnerships

description: Statistical data
DOI: 10.17632/r4jgxk2mhn.3
title: Compiled Dataset of Concrete Mixture Environmental Product Declarations in the U.S.A.

description: Last Updated: May 1, 2024. Includes over 5,000 new ready-mix concrete EPDs with new data fields such as "Metro (within 60-mile driving distance)."

The carbon footprint of a concrete structure is directly affected by the selected concrete mix. To better understand the influence of different concrete mixes, mix data was collected from Environmental Product Declarations (EPDs). Data from 44,154 U.S.A. concrete mix EPDs was obtained from public repositories provided by the American Society for Testing and Materials and the National Ready Mixed Concrete Association. The dataset provides information on life cycle assessment (LCA) midpoints (Global Warming Potential, Ozone Depletion Potential, Acidification Potential, Photochemical Ozone Creation Potential, Abiotic Depletion, Total Waste Disposed, and Consumption of Freshwater), concrete strength classes, declared unit, concrete curing time, production components, concrete manufacturers’ company and plant locations, and additional LCA information. This dataset enables users to quickly assess the environmental impacts (including the Global Warming Potential) of different concrete mixes without the need for extensive data collection and analysis. In summary, this dataset provides environmental information about concrete mixes to aid researchers, sustainability consultants, building practitioners, and policymakers to make sustainability-informed decisions when specifying concrete in the U.S.A.
DOI: 10.17632/66mdjy8mnx.1
title: Dermatology Clinic Genital Program Patient Questionnaire

description: Example patient intake questionnaire for Gynecologic Dermatology practices
DOI: 10.17632/kx52tk2ddj.3
title: Panoramic radiographs with periapical lesions Dataset

description: Apical periodontitis is a common dental disease. The periapical lesions in radiographs are important symptom to diagnosis apical periodontitis. The application of machine learning in detection of periapical lesions is a hot topic in dentistry. This dataset of panoramic radiographs with periapical lesions from real-world patients. This dataset can be used to train a deep learning model for apical lesions detection. This dataset provides 3926 radiographs. In order to enhance the dataset, the original images was scaled, rotated, flipped and added noise, expanding to. This dataset contains three main folders: Original JPG Images, Augmentation JPG Images, Image Annotations. The folder size of the dataset is
DOI: 10.17632/vt3cnmz9bc.6
title: Data for: Transcriptomic dataset of two developmental stages of seeds in cultivated (Sesamum indicum), wild (S. mulayanum) and six inter-specific recombinant lines of sesame

description: Sesame is an important oilseed crop with many pharmacological properties. We have made inter-specific hybridization between common cultivated high yielding Indian sesame (Sesamum indicum) and one of the wild sesames (S. mulayanum). The wild is low oil yielding yet unlike the cultivated sesame its oil contains very high lignan (Sesamin, Sesamolin) of anti-oxidant properties. Most of the traits of seed like oil, testa colour etc are QTL-controlled and we can expect the involvement of many genes. Our breeding population has a remarkable variation in those traits. We have performed transcriptomics of the seeds in different developmental stages from the parents and six selected recombinant lines (RILs, F6). From the RNA-Seq data, we have investigated variation in gene sequences, expression level and correlated them with trait variation. This will foster the development of candidate gene based SNP markers and help in sesame breeding programme for a better genotype.
DOI: 10.17632/s92rnsb52g.2
title: FinTech deals 1995-2020

description: Dataset contains a list of acquisition deals where the target company is a private company from Fintech industry and the acquirer is a public entity. Dataset also includes a number of financial indicators and stock returns windows for each public company from the buyers' list. The initial data was filtered, processed and aggregated to acquire statistically significant output values which can be used in hypothesis testing and making relevant conclusions.
DOI: 10.17632/mghw6xjgh7.1
title: Images and videos_Experiment_% plastics waste in municipal mixed solid waste in the Municipality of Aalborg

description: These images were taken as part of the sample collection, preparation and critical observations for an experiment with municipal mixed solid waste in the Municipality of Aalborg
DOI: 10.17632/8rrpmgwbtm.1
title: Natural Pothole Dataset within River Environments

description: The Natural Pothole Dataset comprises 3992 high-resolution images capturing various instances of natural potholes found in river water. Each image is meticulously annotated using the YOLO (You Only Look Once) object detection framework, providing precise bounding box coordinates and corresponding class labels for the detected potholes.
Annotations are provided in XML format, enabling easy integration with machine learning algorithms and computer vision pipelines. The dataset focuses exclusively on natural potholes, emphasizing their diverse shapes, sizes, and environmental contexts.
Researchers and practitioners in fields such as Geomorphology, Geomorphology, Hydrology, River Science, Machine Learning, Environmental Science, computer vision, and geospatial analysis can leverage this dataset for tasks including pothole detection, classification, and predictive modeling.
DOI: 10.17632/x6x5jkk873.1
title: A novel groundnut leaf dataset for detection and classification of groundnut leaf diseases

description: The image of the groundnut leaves was collected from the agricultural land of Ramchandrapur village in Purba Medinipur district of West Bengal, India, Pin: 721429, which is both healthy and infected with Leaf spot (early and late), Alternaria leaf spot, Rust, and Rosette. The dataset contains 1,720 jpg images in 4624 × 3472 pixel format, each labelled with the image number and the name of the image. Data were uploaded to the repository in 5 distinct folders: 1 folder for healthy data, 1 folder for Leaf spot (early and late), 1 folder for Alternaria leaf spot, 1 folder for Rust, and 1 folder for Rosette diseases. In addition, each folder's name reflected the associated image class. The HEALTHY folder comprises a collection of images depicting groundnut leaves in a healthy condition. The LEAF SPOT (EARLY AND LATE) folder contains images of groundnut leaves affected by Leaf spot (early and late). The folder titled ALTERNARIA LEAF SPOT contains images depicting groundnut leaves that have been infected by Alternaria leaf spot. The RUST folder comprises images of groundnut leaves infected by Rust disease. The ROSETTE folder contains images of groundnut leaves infected by Rosette disease. The images were divided into distinct directories to facilitate the process of sharing and downloading data.
DOI: 10.17632/6ndbjd8gjr.2
title: Data for: The fluvial evolution of the Holocene Nile Delta

description: Locations and stratigraphic horizons of shallow boreholes drilled within the fluvial zone of the Nile Delta, focussing on the uppermost Quaternary sequence. Stratigraphic nomenclature follows that proposed by Pennington et al. (2017), "The fluvial evolution of the Holocene Nile Delta", QSR.
DOI: 10.17632/sp3xssmzbg.1
title: MaskedFER2023 and MaskedCK+: Face-masked FER2013 and CK+ datasets for mask-aware facial expression recognition

description: M-FER2013 and M-CK+ are the masked versions of FER2013 and CK+ datasets. 

CK+ is a small dataset that contains many highly similar images, as these images are consecutive frames from videos. Source: https://www.kaggle.com/datasets/shawon10/ckplus and https://github.com/spenceryee/CS229/tree/master/CK%2B. 

FER2013 is another facial expression recognition dataset similar to CK+ with a larger size. Source: https://www.kaggle.com/datasets/msambare/fer2013

M-FER2013_cropped and M-CK+_cropped are the cropped versions of  'M-FER2013' and 'M-CK+', respectively. Only regions near the eyes are preserved, and some poorly masked images (inappropriate masked sizes and positions) are removed.

Refer to https://github.com/hasan-rakibul/MaskTheFER for more details.
DOI: 10.15468/dl.9dw8g8
title: Occurrence Download

description: A dataset containing 1663 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Prunus ilicifolia (Nutt. ex Hook. & Arn.) D.Dietr.",
 "HasGeospatialIssue is false",
 "HasCoordinate is true",
 "OccurrenceStatus is Present",
 "BasisOfRecord is Specimen"
 ]
}

 The dataset includes 1663 records from 61 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0009322-241126133413365/datasets/export for details.
 
Data from some individual datasets included in this download may be licensed under less restrictive terms.
DOI: 10.17632/5gxsjcmyrg.1
title: ENHANCING TOURISM INNOVATION THROUGH DISRUPTIVE TECHNOLOGY AND STRATEGIC ALLIANCES: EVIDENCE FROM POPULAR DESTINATIONS IN WEST JAVA

description: ENHANCING TOURISM INNOVATION THROUGH DISRUPTIVE TECHNOLOGY AND STRATEGIC ALLIANCES: EVIDENCE FROM POPULAR DESTINATIONS IN WEST JAVA

The research objects focus on the following construct: 
1. Disruptive technology
2. tourism innovation
3. Strategic alliances
4. Local cultural engagement

This study employs a quantitative, explanatory survey design to investigate the role of disruptive technology and strategic alliances in fostering tourism innovation in popular destinations in West Java. This approach is chosen to quantify relationships between variables and to provide a clear explanatory framework for understanding the impact of these factors on tourism innovation. The primary instrument used for data collection is a structured questionnaire, utilizing a nine-point (1 – 9) Likert scale to measure respondents' perceptions and attitudes. The questionnaire encompasses various indicators related to disruptive technology (enhanced visitor experience, operational efficiency, sustainability impact, employee productivity, and accessibility) and strategic alliances (compatible goals, complementary skills, cooperative cultures, and commensurate risk). A pilot test was conducted to ensure the validity and reliability of the instrument, involving a small sample of respondents similar to the study population. 

The unit of analysis for this study comprises approximately 310 popular tourist destinations in West Java. These destinations were selected based on their popularity and significance to the region's tourism industry. Data collected from the survey were analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). This method was chosen due to its suitability for analyzing complex models and its ability to handle small to medium-sized samples effectively. The analysis involved two main stages: the measurement model and the structural model. The measurement model assessed the reliability and validity of the constructs, while the structural model evaluated the hypothesized relationships between disruptive technology, strategic alliances, and tourism innovation. The PLS-SEM approach provided robust insights into the direct and moderating effects of local cultural engagement on the studied relationships, offering a comprehensive understanding of the factors driving tourism innovation in West Java.
DOI: 10.17632/ct8f9skv97.1
title: JSON Datasets for Exploratory OLAP

description: These datasets has been used to evaluate the EXODuS approach: EXploratory OLAP over Document Stores. - The games dataset has been collected by Sports Reference LLC. It contains around 32K nested documents representing NBA games in the period 1985-2013. Each document represents a game between two teams with at least 11 players each. It contains 47 attributes; 40 of them are numeric and represent team and player results. - The DBLP dataset contains 2M documents scraped from DBLP in XML format and converted into JSON. Documents are flat and represent eight kinds of publications including conference proceedings, journal articles, books, thesis, etc. The third portion of the dataset represent author pages, containing half the number of fields compared to other kinds. So, documents have shared attributes such as title, author, type, year and unshared ones such as journal and booktitle. - The Twitter dataset contains 2M tweets scraped from the Twitter API. Each document represents a tweet message and its metadata, which contains some nested objects: a user object that represent the author of the tweet, a place object that gives its location and a retweet object if it is a reply. The dataset is heterogeneous and mixes between tweets and documents of an API call for tweet deletes. The sources of the datasets are listed in the Related links Section.
DOI: 10.17632/n6wrv4ry6v.3
title: Powerline Image Dataset (Infrared-IR and Visible Light-VL)

description: Despite a relatively crowded literature about detection of power lines for aircraft safety, the works are mostly optimized with very few training images; some even use artificially generated images. The IR imaging case is even less utilized. The reason is clearly the tremendous workload to obtain real images. With this demand in mind, the authors cooperated with the Turkish Electricity Transmission Company (TEIAS) to obtain video captures from actual aircrafts. Later, the authors made a thorough inspection over the video frames to isolate, capture and clean thousands of valuable images. In this content, 4000 IR and 4000 VL images are acquired and scaled to a size of 128x128. The IR folder contains 2000 IR images with power line and 2000 IR images with no power line. The VL folder contains 2000 VL images with power line and 2000 VL images with no power line. The IR and VL groups were deliberately constructed to contain both regular and especially confusing scenes. "TY" shows that there are no power lines in the images. "TV" shows that there are power lines in the images. The videos were captured from 21 different regions all over Turkey at different seasonal days. Due to varying background behavior, varying temperatures and weather conditions, and varying lighting conditions, the achieved positive set contains several difficult scenes where low contrast causes close-to invisibility for power lines. The original video resolutions were 576x325 for IR and full HD for VL, however, the captured frames were scaled down to smaller sizes and the effect of resizing was tested for various image sizes. An image size of 128x128 is sufficient for a consistently accurate power line recognition.
DOI: 10.17632/wzbzznk8z3.1
title: A dataset for machine learning research in the field of stress analyses of mechanical structures

description: This is a dataset prepared and intended as a data source for development of stress analysis methods based on machine learning. The dataset is based on finite element (FEM/FEA) stress analyses of generated mechanical structures using PyCalculix Python API. The dataset contains more than 270,794 pairs of stress analyses images (von Mises stress) of randomly generated 2D structures with predefined thickness and material properties. All the structures are fixed at their bottom edges and loaded with gravity force only. See PREVIEW directory with some examples.