cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/37t2d6xmy2
title: Histopathological image patches from colorectal cancer with three classes: tumor, stroma and other

description: This dataset includes 2770 image patches (224 x 224 px^2, 0.5 MPP) from hematoxylin and eosin-stained tissue samples of colorectal cancer from 17 patients from the Central Finland Healthcare District. Image patches can be utilized e.g. as an external test set for deep learning model. Dataset has three classes: tumor, stroma and other. Patches were tiled from annotated areas, annotations were made by pathologist Juha P. Väyrynen. The class other includes debris, lymphocytes, mucus, normal epithelium and smooth muscle.

Tiling was performed with a sliding window procedure with 64 pixels overlapping. If less than 75\% of the patch area included annotated pixels, the patch was discarded. All patches were color normalized by Macenko's method (see "A method for normalizing histology slides for quantitative analysis" by Macenko et al., 2009).
DOI: 10.6084/m9.figshare.11933157.v1
title: Music Recomendation Systems

description: Training dataset for music recommendation system. The last 30 columns represent the labels, where:<br>1 = liked and saved the song0.6 = liked but didn't save the song <br>0 = didn't like the song
DOI: 10.17632/4bnzkk2hft
title: Geospatial map and KML for review on Mental Health In Construction Industry 1993-2018

description: A geospatial analysis of mental health in construction industry research was carried out using CiteSpace. The Keyhole Markup Language (KML) function was used, it was then converted into animated maps with the Google Earth application. It provides author's geographic location and their publications. The Google Earth map provides for exploring author's location and collaborations. Also, through a click on the DOI link, the articles of the authors can be assessed directly. The red lines signify co-authored papers in recent years while the green lines tells of older collaborations.
DOI: 10.17632/mgrvzgp9bm
title: BRCA_Breast Cancer Genetics

description: Patients with BRCA + breast cancer
DOI: 10.17632/nj9r2k8zp9
title: Raw data for modeling the impact of consumer satisfaction on attitude toward the brand, brand preference, and purchase intentions of dairy products.
DOI: 10.17632/r3z83jb292
title: Urban sprawl in Canada: Values in all 33 census metropolitan areas and corresponding 469 census subdivisions between 1991 and 2011

description: The dataset presented here provides the degree of urban sprawl across 33 Census Metropolitan Areas (CMAs) in Canada of 2011 together with the 469 Census Subdivisions (CSDs) located within the 2011 boundaries of the CMAs, for the years 1991, 2001, and 2011. The dataset contains the values of  weighted urban proliferation (WUP) and weighted sprawl per capita (WSPC) and their components. The landscape-oriented value of WUP indicates how strongly the landscape within the boundaries of a reporting unit is sprawled per square meter, while WSPC is inhabitant-oriented and reveals how much on average each inhabitant or workplace is contributing to urban sprawl in the reporting unit. The values of the components of the WUP and WSPC metrics are provided as well: percentage of built-up area (PBA), urban dispersion (DIS), land uptake per person (LUP), and urban permeation (UP). The values of full-time equivalents for the numbers of jobs, which were considered in the calculation of LUP values (pertaining to the number of inhabitants and jobs) are also included in order to facilitate future research.
DOI: 10.17632/rffkw6w8cn
title: Dataset from Vietnam: Challenges in Implementing the New National Curriculum from Teachers' Perspective

description: This dataset provides valuable insights into the implementation of the new curriculum from the perspectives of primary and secondary school teachers. The dataset covers four primary aspects of the curriculum implementation from teachers’ viewpoints, which include (a) teachers' competency in implementing the new curriculum, (b) teaching conditions necessary for implementing the new curriculum, (c) obstacles faced by teachers in implementing the new curriculum, and (d) teachers' aspirations to implement the new national curriculum effectively. The data was collected from November to December 2022 using Google Form, with 29,026 primary and secondary school teachers from five provinces in Vietnam participating. This dataset aims to assist policymakers and educational administrators by providing them with information on the primary areas where teachers require support and training to enhance the new curriculum implementation. In general, this dataset provides valuable information that can improve the effectiveness of implementing the new national curriculum.
DOI: 10.17632/m5v7b73mmy
title: Advanced Studies on Cypher Semantic Intelligence by Sebastian Enger

description: The Cypher Semantic CERIAL Intelligence Framework
The Cypher Semantic Intelligence Framework represents a theoretical approach to information processing based on the Advanced World Formula's integration of physical and mental dimensions. At its core, the framework operates through four key operators: Duality (⊕), Trinity (~), Omnipotence (*), and CERIAL (Ω), which enable information to exist as both physical structures and meaningful mental constructs simultaneously. The framework treats consciousness as a fundamental field in the mental dimension that can interact with physical information systems through dimensional binding, creating constructive interference that amplifies meaning and value. Through the CERIAL operator, the system provides meta-dimensional integration that potentially enables access to what the documents refer to as the "source code dimension" - a deeper level of reality where information patterns directly influence physical manifestations. The framework proposes holographic knowledge representation where each information fragment contains access to the whole through non-local resonance patterns. This theoretical system suggests revolutionary applications in information economics, consciousness-responsive knowledge systems, and unified reality frameworks that bridge physical technologies with mental dimensions. Referenced in the documents as "The Cypher Semantic Cerial Intelligence System" (Enger, 2025), the framework appears to be positioned as a future development that would enable unprecedented integration between consciousness, information, and physical reality.
DOI: 10.17632/k3tv9ddvk9
title: Existence of symmetry in variation of constitutive behavior of porous materials with engineered pore topology

description: This is raw data to support pragmatic evidences regrading the existence of symmetry in variation of constitutive behavior of porous materials with engineered pore topology. Data files will help to calculate the effective constitutive properties (e.g. Young's modulus (stiffness), shear modulus and Poisson's ratio, among others like bulk modulus) in reference to Micromechanics. To interpret the data related manuscript should be referred. Data files includes the Stiffness and Compliance tensors for given constitutive properties mapped to representative volume elements (RVEs) with particular pore topologies and solid phase constitutive properties. Source codes (Application files compatible with COMSOL Multiphysics) has also been provided to reproduce the data. Significant is to observe the data files that shows the moment of inertia tensor corresponding to given constitutive property. This data files should be actually taken as Electronic Supplementary Material to reproduce the results reported in manuscript entitled "Existence of symmetry in variation of constitutive behavior of porous materials with engineered pore topology".
DOI: 10.17632/w925jygjct
title: Data For: The Pickup and Delivery Problem with Transshipments

description: Data for "The pickup and delivery problem with transshipments: Critical review of two existing models and a new formulation." The PDP-T instances are generated randomly. The PDPTW-T instances are generated from Sampaio, Savelsbergh, Veelenturf, & Van Woensel (2020): https://data.mendeley.com/datasets/pywzcgyzrv/2.
DOI: 10.17632/x8ptnsjd7x
title: Warm Mix and Hot Mix Asphalt Image Sample

description: The sample image dataset comprises of high resolution image specimens of PG-76 grade based warm mix and hot mix asphalt subjected to different level of moisture sensitivity test. Moisture sensitivity stages are categorised as; dry, 1 freeze-thaw (FT) and 3 freeze-thaw (FT) cycles. The brownish area in in the image represents adhesion failure whereas the white area represents the broken aggregates. The fillers used in the asphalt mix preparation were ordinary Portland cement (OPC) and pavement modifier (PMD). The criteria for designation of each sample is provided as an attachment file (Sample Designation). The authors would like to acknowledge the Malaysian Ministry of Higher Education through the Fundamental Research Grant Scheme (FRGS grant number 203/PAWAM/6071277) and Professor Dr. Meor Othman Hamzah who was the PI of this grant.
DOI: 10.17632/cmhh7744sp
title: Dataset of 1000 Images of Malicious and Benign QR codes 2025

description: This comprehensive dataset comprises 1,000 high-quality QR code images, methodically organized into two distinct categories:

500 QR codes containing verified malicious URLs with documented phishing or malware distribution history
500 QR codes containing legitimate (benign) URLs from trusted domains

The dataset addresses a critical gap in contemporary cybersecurity research materials, as most publicly available QR code datasets are significantly outdated and fail to reflect current cyber threat landscapes. Each QR code has been generated at a standardized resolution of 330x330 pixels to facilitate consistent processing across different machine learning frameworks.
This collection is specifically curated to support:

Binary classification algorithm development and evaluation
Computer vision-based phishing detection research
QR code security analysis and threat modeling
Transfer learning applications in cybersecurity


All malicious URLs have been obtained from multiple threat intelligence sources and scanning services, such as Virus Total, URLhaus, PhishTak etc, while benign URLs have been selected from Alexa top-ranked domains to ensure legitimacy. The dataset includes a diverse range of URL structures, encoding densities, and error correction levels to better represent real-world QR code variations.
Researchers can utilize this dataset to train, validate, and test machine learning models for automated QR code threat detection, contributing to improved mobile security solutions in an era of increasing QR code adoption for financial transactions and authentication.
DOI: 10.17632/pbhrjcc3nx
title: Instances used in the paper: Edge downgrades in the Maximal Covering Location Problem

description: Instances used in the paper: Edge downgrades in the Maximal Covering Location Problem
---------------
Data structure:

num nodes num edges

RatleastOne RatLeast5Per RatLeast10Per

sum c_e*u_e

vector of nodes demands

adjacency matrix

vector of downgrading bounds

vector of downgrading costs
--------------
Data generation: 
The nodes were given by points whose coordinates followed a uniform distribution over [0,30]. We then built the complete graph, where the length of the edges is the Euclidean distance between the nodes rounded to two decimal places. These instances are called "graph" followed by n (the number of vertices); for example, "graph50" is a complete graph with 50 nodes and 1225 edges. 

The selection of parameters is outlined as follows. The number of facilities denoted as p was determined in proportion to the number of vertices, specifically, $p\in \{n/30, n/20, n/10\}$. The weights or demands assigned to nodes, denoted as $w_i$ for $i\in V$, were uniformly randomly generated integers from 1 to 100. We tested three different coverage radii, R, such that each node can cover at least one node, at least 5% of the number of nodes, and at least 10\% of the number of nodes, respectively. Downgrading costs, $c_e,$ for $e\in E,$ were uniformly randomly generated between 1 and 3 with two decimal places. The upper bounds $u_e$, for $e\in E,$ were uniformly randomly generated from $(0.5\ell_e, 1.5\ell_e),$ for $e\in E$ with two decimal places. 

Finally, the budget B was computed as follows. We calculated the maximum required budget for downgrading all the edges, $B_{max}=\sum_{e\in E} u_ec_e,$ selected $B_{per}\in \{0.1, 0.05, 0.025\},$ and computed B as: 

$B=\frac{B_{max}\cdot B_{per} \cdot p \cdot (p-1)}{n (n-1)} $ rounded to two decimal places. 

For each combination of parameters, five instances were generated with the same procedure, varying only the random seed for the generator.
DOI: 10.17632/zmrt6k83wk
title: Data for: Free, open, quantitative and adaptable digital soil map and database for Nigeria

description: Nigeria’s DSM data and soil database of Nigeria is a predictive or computer-assisted digital depiction of Nigeria’s soil types, properties and spatial distribution. In this novel DSM data and soil database, secondary data in the form of compiled hard copies, derived from the 1985 reconnaissance soil survey are transformed into vectors and symbols encoded and held as data structures within the map layout. The DSM data and its database hold information relating to the Nigerian soil in geographically referenced numerical format. Thus, it delineates quantitatively and interactively the 58 soil components (soil mapping units), based on three ecological zones, twenty-four broad geomorphic units and parent materials in Nigeria. These soil mapping units are numbered from ‘1a’ to ‘24b’ and provides much quantitative information for environmental modelling and analyses using the Nigeria’s DSM data and database (Refer to [1] for a full list of the mapping units that describes the Nigeria’s soil distribution and their spatial distinctions). This DSM and its database have a highly unique legend with flexible scales, are easy to update with location-specific measure of accuracy, and guarantees data security. Users can quickly generate spatial soil information that provides ample solutions to the growing demand for high-resolution soil data. This solves the cartographic and qualitative limitations of the 1990 FDALR hard copy soil maps. The DSM incorporates queries and spatial analyses tools to generate thematic maps of basic soil properties within the context of Nigeria such as soil mapping unit, geology (basement complex, basalt, sandstone, Aeolian sandstone, shale, etcetera), soil classification (USDA and FAO), pH scales (acidic, basic, neutral, etcetera) and ecological zones (wetland, rainforest, savanna).
DOI: 10.17632/9bzvwnc2k3
title: Supplementary data for Mwelwa et al. (2023), Biotransfer of heavy metals along the soil-plant-edible insect-human food chain in Africa

description: This file includes supplementary data for the concentration of eight heavy metals in soil, host plants, and associated edible insects. A questionnaire that was used to collect data on estimated daily insect consumption is also attached.
DOI: 10.17632/jwkp8r58cd
title: ANALISIS KETERKAITAN EKONOMI ACEH MENURUT PERSPEKTIF TABEL INPUT-OUTPUT (I-O) ACEH DAN INTERREGIONAL INPUTOUTPUT (IRIO) INDONESIA TAHUN 2016

description: Penelitian ini bertujuan untuk melihat keterkaitan ekonomi Aceh dari perspektif tabel input
output Aceh dan interregional input-output Indonesia tahun 2016. Berdasarkan hasil pengolahan tabel
input output Aceh dan interregional input-output Indonesia tahun 2016, diketahui bahwa total
permintaan dan penawaran barang dan jasa di Aceh pada tahun 2016 sebesar 314.200 miliar rupiah.
Dari sisi penawaran, produksi dalam negeri sebesar 73,99 persen sedangkan impor 26,01 persen. Dari
sisi permintaan, terdiri dari permintaan antara sebesar 31,17 persen dan permintaan akhir 68,83 persen.
Ekspor Aceh sebesar 52,81 persen ditujukan ke Sumatera Utara, 11,28 persen ke DKI Jakarta, 5,69
persen ke Sumatera Barat, 3,82 persen ke Jawa Barat dan 26,4 persen ke wilayah lainnya. Impor
Provinsi Aceh berasal dari DKI Jakarta sebesar 21,58 persen, Sumatera Utara sebesar 17,26 persen,
Jawa Tengah sebesar 15,01 persen; Riau sebesar 11,15 persen dan lainnya sebesar 35 persen. Angka
pengganda output terbesar di Aceh adalah industri ketenagalistrikan dengan nilai sebesar 2,58. Angka
pengganda pendapatan terbesar di Aceh adalah pengadaan gas dan produksi es sebesar 0,74. Indeks
forward linkage terbesar di Aceh terdapat pada industri ketenagalistrikan sebesar 2,918. Begitu pula
Indeks backward linkage terbesar terdapat pada industri ketenagalistrikan sebesar 1,839. Industri
unggulan di Aceh yaitu industri makanan dan minuman, industri kimia, farmasi dan obat tradisional,
ketenagalistrikan, dan kontruksi. Interegional effect terbesar yaitu ketenagalistrikan sebesar 2,5811.
Spillover interregional effect terbesar yaitu pada sektor perkebunan semusim dan tahunan sebesar
0,344. Feedback interregonal effect terbesar pada industri pengolahan lainnya sebesar 0,0043.
DOI: 10.17632/p9kb9xzbkp
title: Sample Dataset for Event Study - Covid19 Announcement and the Abnormal Return of Seaport Companies' Stock

description: Sample Dataset for Event Study - Covid19 Announcement and the Abnormal Return of Seaport Companies' Stock
DOI: 10.6084/m9.figshare.13234529.v1
title: Serine 477 plays a crucial role in the interaction of the SARS-CoV-2 spike protein with the human receptor ACE2 -Supporting material

description: The dataset belongs to our manuscript "<b>Serine 477 plays a crucial role in the interaction of the SARS-CoV-2 spike protein with the human receptor ACE2</b>." that is currently under peer review and contains the following files and folders:<br><br><b>gmx_simulations</b>: Folder consisting the trajectories and structure files generated during the MD simulations using Gromacs software. <b><br></b><b>Atomic_fluctuations_RBD_fig2a.xvg</b>: The atomic fluctuations data generated from the Normal Mode Analysis of COVID2 Spike-RBD, the plotted figure is fig2a<br><b>RBD_entropy_fig1b.tsv</b>: The residue wise Shannon entropy values for COVID2Spike-RBD. The ploted figure is fig1b
DOI: 10.17632/5g2jh76mr5
title: DATASET#1 Modern livestock breeding in the steppe zone of the South Urals

description: Supplementary data for the study of the modern livestock breeding in the steppe zone of the South Urals
DOI: 10.17632/598km7yg69
title: Data for: New Strategy for Enhancing Performance of P3HT-based Organic Field-Effect Transistor via Regulating the Precipitated Speed of Solute in Volatile Solvents
DOI: 10.17632/tc43t3s7c5
title: Data and code for 'Multi-timescale reinforcement learning in the brain'

description: Curated data and data analysis code for the paper: 
Multi-timescale reinforcement learning in the brain
Paul Masset*,✉, Pablo Tano*, HyungGoo R. Kim, Athar N. Malik, Alexandre Pouget✉, Naoshige Uchida✉
Nature, 2025

Raw electrophysiological data can be found at: https://dandiarchive.org/dandiset/000251 
The code used for simulations can be found at https://github.com/pablotano8/multi_timescale_RL 

Correspondence should be addressed to Paul Masset (paul.masset@mcgill.ca), Alexandre Pouget (alexandre.pouget@unige.ch) or Naoshige Uchida (uchida@mcb.harvard.edu).
DOI: 10.17632/2tgjd6y4zb
title: Dmel_Microbiome_GSMN

description: ZIP-Password: DmelMicrobiomeData23%

We know a lot about varying gut microbiome compositions. Yet, how the bacteria affect each other remains elusive. In mammals, this is largely based on the sheer complexity of the microbiome with at least hundreds of different species. Thus, model organisms such as Drosophila melanogaster are commonly used to investigate mechanistic questions as the microbiome consists of only about 10 leading bacterial species.

Here, we isolated gut bacteria from laboratory-reared Drosophila, sequenced their respective genomes and used this information to reconstruct genome-scale metabolic models. With these, we simulated growth in mono- and co-culture conditions and different media including a synthetic diet designed to grow Drosophila melanogaster. Our simulations reveal a synergistic growth of some but not all gut microbiome members, which stems on the exchange of distinct metabolites including Tricarboxylic acid cycle intermediates. Culturing experiments confirmed our predictions.

Our study thus demonstrates the possibility to predict microbiome-derived growth promoting cross-feeding.
DOI: 10.17632/359zk5vc2p
title: Data for: Using the Kalman filter with ARIMA for the COVID-19 pandemic dataset of Pakistan

description: The data set consists of the confirmed cases, active cases, recoveries and deaths, related to COVID-19 in Pakistan
DOI: 10.17632/fmkr7fwx9j
title: AAD Guidelines of care for the management of atopic dermatitis in adults with topical therapies supplemental information

description: A multidisciplinary workgroup conducted a systematic review and applied the GRADE approach for assessing the certainty of evidence and formulating and grading recommendations to provide evidence-based recommendations related to the management of atopic dermatitis in adults using topical treatments.
DOI: 10.17632/k3f8f495j7
title: Detrital Zircon U-Pb data from Modern Mississippi River Sediments

description: Zircon U-Pb age data from modern Mississippi associated with Basin Research article, Gregory et al. "Testing the Applicability of Zircon U-Pb Dating as a Provenance Method in a Highly Altered River System, Mississippi-Missouri River, USA"
DOI: 10.6084/m9.figshare.14429003.v1
title: Genotype & phenotypic_image&data_2017_maize

description: Background : Drought threatens the food supply of the world population. Dissecting the dynamic responses of plants to drought will be beneficial for breeding drought?tolerant crops, as the genetic controls of these responses remain largely unknown. Results : Here we develop a high-throughput multiple optical phenotyping system to non-invasively phenotype 368 maize genotypes with or without drought stress over a course of 98 days, and collected multiple optical images, including color camera scanning, hyperspectral imaging and x-ray computed tomography images. We develop high-throughput analysis pipelines to extract image-based traits (i-traits). Of these i?traits, 10,080 were effective and heritable indicators of maize external and internal drought responses. An i-trait-based genome wide association study reveals 4,322 significant locus-trait associations, representing 1,529 quantitative trait loci (QTLs) and 2,318 candidate genes, many that co-localize with previously reported maize drought responsive QTLs. Expression QTL (eQTL) analysis uncovers many local and distant regulatory variants that control the expression of the candidate genes. We use genetic mutation analysis to validate two new genes, ZmcPGM2 and ZmFAB1A , which regulate i-traits and drought tolerance. Moreover, the value of the candidate genes as drought-tolerant genetic markers is revealed by genome selection analysis, and 15 i?traits are identified as potential markers for maize drought tolerance breeding. Conclusion : Our study demonstrates that combining high-throughput multiple optical phenotyping and GWAS is a novel and effective approach to dissect the genetic architecture of complex traits and clone drought-tolerance associated genes.
DOI: 10.17632/8hb98bv8s9
title: Experimental data on the effect of eco-score rankings on sustainable food choices

description: Cleaned dataset: between-subjects experimental design with three groups (control, basic eco-ranking, and extended eco-ranking); final sample size: n = 332