cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.17632/xksrbmw665
title: Honey, mugs, and caricatures: anchors on prices of consumer goods only hold hypothetically

description: We elicit willingness to pay for different types of consumption goods, systematically manipulating irrelevant anchors (high vs. low) and incentives to provide true valuations (hypothetical vs. real). On top of a strong hypothetical bias, we find that anchors only make a substantial, significant difference in the case of hypothetical data, the first experiments to directly document such an interaction. This finding suggests that hypothetical market research methods may deliver lower quality data. Moreover, it contributes to the discussion examining the mechanism underlying the anchoring effect, suggesting it could partly be caused by insufficient conscious efforts to drift away from the anchor.
DOI: 10.17632/y258s6d939
title: Benchmark dataset and instance generator for Real-World 3dBPP

description: A benchmark for real-world bin packing problems is proposed. This dataset is composed of 12 instances comprehending different levels of problem complexity regarding size (with the number of packages ranging from 38 to 53) and user-defined requirements. Several real-world oriented restrictions have been considered for building these instances: i) items and bins dimensions, ii) weight restrictions, iii) affinities among packages categories iv) preferences for package ordering and v) load balancing. Besides the data, we also provide an own-developed Python script for the dataset generation, coined as Q4RealBPP-DataGen. The benchmark was firstly proposed to evaluate quantum solvers, therefore the characteristic of this set of instances were designed according to the current limitations of quantum devices. Additionally, the dataset generator is included to allow the construction of general-purpose benchmarks. The data introduced on this benchmark provides a baseline that will encourage quantum computing researchers to work on real-world bin packing problems.

Related paper:

Benchmark dataset and instance generator for Real-World Three-Dimensional Bin Packing Problems - https://arxiv.org/abs/2304.14712
Hybrid Approach for Solving Real-World Bin Packing Problem Instances Using Quantum Annealers - https://arxiv.org/abs/2303.01977
DOI: 10.6084/m9.figshare.22271233.v1
title: Forth set of DICOM files

description: Forth set of DICOM files
DOI: 10.6084/m9.figshare.26048050.v1
title: FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension

description: FineCops-Ref is a dataset for Compositional Referring Expression Comprehension (REC) that rigorously evaluates Vision-Language Models (VLMs) on compositional reasoning and their ability to identify inconsistencies between images and text. Beyond standard REC tasks, it challenges models with fine-grained correspondences involving objects, attributes, and relationships. The dataset comprises both training and testing sets, designed to thoroughly assess model performance across various difficulty level. The Paper can be found in [2409.14750] FineCops-Ref: A new Dataset and Task for Fine-Grained Compositional Referring Expression Comprehension (arxiv.org)
DOI: 10.17632/gcw2rtxzcb
title: Multidimensional insights into the biodiversity of Streptomyces in soils of China: a preliminary study

description: Processed genomes data of 136 Streptomyces isolates in this study:
The genomes of these strains isolated from 19 locations across 14 provinces in China, were assembled by Unicycler v0.5.0 from quality-filtered Illumina next-generation sequencing data.
DOI: 10.17632/jbf6b932h6
title: Quality of Evidence Scorecard

description: A scorecard used to assess the quality of evidence for individual studies. Includes additional focus on the patient’s experience. The process assesses whether a study centers around treatments or discussions that involve the patient and clinical outcomes important to patients.
DOI: 10.17632/mx3nj27ddh
title: Data for the Assessment of Stress Integration Schemes for Large-Deformation Finite Element Analysis

description: Files "results_comp_ext_repository.xlsx", "results_ext_rot_repository.xlsx", "results_simple_shear_repository.xlsx", "results_uniaxial_extension_repository.xlsx" gather the results (stress predictions) of four tests, aimed to check stress integration algorithms in four corresponding deformation paths: “extension-compression”, “extension-rotation”, “simple shear”, "uniaxial extension". They are chosen in order to include the most common motions of the structure particles, i.e. relative motions that yield extension, compression and shear combined with possible rigid rotations of the body. Particularly, the rotation motion is simulated in order to test the incremental objectivity or, better, the priority on rigid motion or weak objectivity of the algorithms. The exact analytical solutions of the three tests are known from literature. In all of the tests, a unit square (1 x 1 m2) with unit thickness undergoes a deformation path under plane stress conditions. It is made of linear elastic material with Young’s modulus E = 1 Pa and Poisson ratio nu = 0. A fixed number of time steps N equal to 50 (the highest employed in the reference papers) is chosen. The simulated “time” parameter t ranges between 0 and 1 in “extension-compression” as well as “extension-rotation” tests, whereas it raises from 0 to 0.9 in “simple shear” test. Therefore, the corresponding time steps t are equal to 1/50 and 9/500, respectively. The various simulation models include different stress integration methods labelled as described in the reference research paper [1]. In addition, data for plane elements (PLANE42, PLANE182) of Ansys code are added. The files include a data sheet and a corresponding plot for each category of algorithms (classical update-Lagrange algorithms, CC methods, and commercial software). The data are organized in columns, where stress components are given for each stress update method. The file "test_Rodriguez.ans" collects the APDL commands required to generate the data for the Ansys plane elements considered. In the file "cc methods_validation_repository.xlsx" the simple shear test is used in order to validate the methods based on a corotated configuration (CC methods) that use Green-Naghdi and Zaremba-Jaumann objective stress rates. Such validation is cited in the reference article. [1] F. Stefani, M. Frascio, C. A. Niccolini Marmont Du Haut Champ, Choice of the stress integration scheme for accurate large-deformation finite element analysis, Proc IMechE Part C: J Mechanical Engineering Science, 2023, Vol. 237(17) 3977–3986
DOI: 10.17632/yk4jksgjdc
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: 10.6084/m9.figshare.12562256.v1
title: JVASP-48402 to JVASP-49936

description: JARVIS-DFT
DOI: 10.15468/dl.djn23n
title: Occurrence Download

description: A dataset containing 0 species occurrences available in GBIF matching the query:
{
 "and" : [
 "TaxonKey is Platytroctes Günther, 1878",
 "HasCoordinate is true",
 "HasGeospatialIssue is false",
 "BasisOfRecord is one of (Specimen, Living Specimen, Observation, Human Observation, Machine Observation, Material sample, Literature Occurrence, Material citation, Occurrence evidence)",
 "Geometry POLYGON ((40.2542 -7.2836,40.3029 -7.1504,35.9648 -7.1504,35.9648 -16.1504,40.6365 -16.1504,41.3042 -15.0287,41.3321 -14.414,41.0824 -13.7539,41.0579 -13.1811,41.2109 -10.9003,40.7985 -9.9904,40.2764 -9.7003,39.994 -8.7002,40.4062 -7.7189,40.2542 -7.2836))"
 ]
}

 The dataset includes 0 records from 0 constituent datasets; see https://api.gbif.org/v1/occurrence/download/0012983-250525065834625/datasets/export for details.
DOI: 10.17632/gsn2hyty37
title: HEALTHCARE PROVIDER FRAUD DETECTION ANALYSIS

description: Fraud data
DOI: 10.17632/nwn9vcvcfd
title: The Social Networks of Vulnerable Children: A Systematic Review and Narrative Synthesis

description: Systematic Review Data Set
DOI: 10.17632/44sv53vtrk
title: Supplemental Table S1. Skin and Soft Tissue Infections in Cancer Patients on Systemic Oncologic Therapy

description: Skin and Soft Tissue Infections in Cancer Patients on Systemic Oncologic Therapy
DOI: 10.17632/t9r3v3h8hs
title: Agromorphological characteristics of Irvingia gabonensis (aubry-lecomte ex o'rorke) baill. (Wild mango) and Theobroma cacao L. in traditional agroforestry systems

description: Cocoa farming has grown exponentially, reaching over 4 million ha of cultivated land. The predominant expansion of cocoa farming from east to west has led to the degradation of the forest landscape. Today, the restoration of the environment and forest cover is a key issue for all agricultural development programs, including cocoa farming. Thus, the socially sustainable, acceptable and profitable ecological alternative to conventional cocoa farming remains agroforestry. This is a dynamic system of natural resource management based on ecological foundation that integrates trees into farms and thus makes it possible to diversify and maintain production. Agroforestry represents one of the most promising solutions for sustainably linking agricultural production and environmental protection. However, several unclear points remain regarding the choice of woody species and their ecological interaction with the cocoa tree. From a technical point of view, it is important to combine species that have favorable effects on the cocoa tree to ensure satisfactory agricultural production. This species is highly valued by farmers in western and south-western Côte d'Ivoire for food and trade. Its kernels are an important nutritional supplement (vitamins, fats, proteins, minerals), and their marketing provides rural populations with financial income. However, there is still a lack of knowledge about the characteristics of I.gabonensis and its interaction with cocoa. The study was initiated with a view to ensuring sustainable cocoa production. In Côte d'Ivoire, I.gabonensis is frequently grown in association with cocoa. The hypothesis behind this study is that the ecological interaction between I.gabonensis and the cocoa influences the agromorphological characteristics of the cocoa. Our study contributes to improve cocoa production systems for sustainable farming. More specifically, we aimed to describe the structural characteristics (height and diameter) of I.gabonensis, to assess its productivity and to describe its effect on agro-morphological characteristics of cocoa trees. To reach this goal, a design of 10 and 20 m radii was set up around the Irvingia gabonensis species, in which diameter, height, morphological characteristics of fruits and seeds, biomass and carbon stock were assessed. The results revealed a homogeneity of I. gabonensis morphological characters as well as fruit production, biomass and carbon stock in all localities, with the exception of height. The vigour and pod yield of cocoa trees in the vicinity of the species was reduced, given the low cocoa density observed in its surroundings. Its presence in cocoa plantations increases biomass production and carbon stock. I gabonensis stabilizes the rate of rotted and gnawed pods. I. gabonensis could therefore be integrated into agroforestry plots, provided that the cocoa density around it is reduced to minimize its impact on cocoa vigor and yield.
DOI: 10.17632/czkn9c4wk6
title: LTE KPI for data mining and machine learning

description: Scheduling procedures implemented in the wireless networks include a variety of workflows such as resource allocation, channel gain improvement and reduction in packet arrival delay. Among these techniques, the Long Term Evolution (LTE) scheduling is highly preferable due to its high speed of communication and less bandwidth consumption. The LTE assigns resources to the workflows based on the time and frequency domains. Normally, the information gathering prior to scheduling increases the processing time due to the verification of each attribute of the user. To solve this issue, parallel processing through data mining is employed in the recent research studies. The label can be assigned to the user attributes which contributes highly towards scheduling of time slots effectively. The label assignment and parallel processing through data mining concept reduces the delay and increases the throughput. Besides, the extraction of matched data from the library and the prediction of available channels with fewer dimensions are the major issues in the LTE scheduling. Traditionally, numerous approaches are developed for LTE scheduling by solving the problems related to data missing values and classification. Based on this, a powerful setup is created for data mining on handoff procedures in LTE communication. The data initially can be obtained from the network service providers, based on our process the data is taken for analysis. This dataset provides you the information on user handoff related data attributes for analysis.
DOI: 10.17632/sffw2sbdp8
title: Replication Data for "Migration and Resource Misallocation in China"

description: Replication package for "Migration and Resource Misallocation in China" published in the Journal of Development Economics, 2024, vol 167, 103218.

Refer to readme.html for instructions on how to replicate the results.
DOI: 10.6084/m9.figshare.24032238.v3
title: Genome of <i>L. chinensis</i>

description: <i>Leymus chinensis</i>, a dominant perennial grass in the Eurasian Steppe, is well known for its remarkable adaptability and forage quality. Hardly any breeding has been done on the grass, limiting its potential in ecological restoration and forage productivity. To enable genetic improvement of the untapped, important species, we obtained a 7.85-Gb high quality genome of <i>L. chinensis </i>with a particularly long contig N50 (318.49 Mb). Its allotetraploid genome is estimated to originate 5.29 million years ago (MYA) from a cross between the Ns-subgenome relating to <i>Psathyrostachys</i>, and the unknown Xm-subgenome. Multiple bursts of transposons during 0.433–1.842 MYA after genome allopolyploidization, which involved predominantly the Tekay and Angela of LTR retrotransposons, contributed to its genome expansion and complexity. With the genome resource available, we successfully developed a genetic transformation system as well as the gene editing pipeline in <i>L. chinensis</i>. We knocked out the monocot-specific miR528 using CRISPR/Cas9, resulting in the improvement of yield-related traits with increases in the tiller number and growth rate. Our research provides valuable genomic resources for Triticeae evolutionary studies and presents a conceptual framework illustrating the utilization of genomic information and genome editing to accelerate the improvement of wild <i>L. chinensis</i>, with features such as polyploidization and self-incompatibility.
DOI: 10.6084/m9.figshare.3142417.v2
title: Ovine rumen papillae biopsy via oral endoscopy; a rapid and repeatable method for serial sampling

description: AIMS: To explore and validate the utility of rumen endoscopy for collection of rumen papillae for gene expression measurement. METHODS: Four adult Coopworth ewes were fasted for either 4 or 24 hours. Animals were sedated, placed in a dorsally recumbent position at 45 degrees with the head upright, and an endoscope inserted via a tube inserted into the mouth. Biopsies of rumen papillae were taken from the ventral surface of the rumen atrium under visual guidance. Two biopsies were collected from one of the animals that had been fasted for 4 hours, and three from one of the animals that had been fasted for 24 hours. Video of the rumen atrium and reticulum was also collected. The animals recovered uneventfully. Biopsies were subsequently used for extraction and sequencing of mRNA. RESULTS: The ventral surface of the rumen atrium was accessible after 4 hours off pasture, but a larger region was accessible after 24 hours of fasting. Sedation allowed access for endoscope use for around 5 to 10 minutes after which increased saliva flow was noted. Rumen papillae biopsies were easily collected, with samples from a variety of sites collected in the ∼10 minute time window. High quality RNA was obtained for stranded mRNA sequencing. Of the resulting reads, 69–70% mapped uniquely to version 3.1 of the ovine genome, and 48–49% to a known gene. The rumen mRNA profiles were consistent with a previously reported study. CONCLUSIONS: This method for obtaining rumenal tissue was found to be rapid and resulted in no apparent short or long term effects on the animal. High quality RNA was successfully extracted and amplified from the rumen papillae biopsies, indicating that this technique could be used for future gene expression studies. The use of rumen endoscopy could be extended to collection of a variety of rumen and reticulum anatomical measurements and deposition and retrieval of small sensors from the rumen. Rumen endoscopy offers an attractive and cost effective approach to repeated rumen biopsies compared with serial slaughter or use of cannulated animals.
DOI: 10.6084/m9.figshare.4258148.v1
title: Table1.xlsx

description: Descriptive statistics (mean values and standard deviation) of the task-related, driving behavior and physiological parameters in the five n-back conditions.
DOI: 10.17632/jc6ywtb37t
title: Data for: Daytime Radiative Cooling with Silica Fiber Network

description: Solution of Radiative Transfer Equation in a fibrous medium with Monte Carlo method using MATLAB
DOI: 10.6084/m9.figshare.13289564.v1
title: kraken_sequences.tar.gz

description: Plasmid-free chromosomal sequences and complete plasmid sequences used for creating the base Kraken database for <i>Klebsiella pneumoniae</i> species complex (KpSC). This dataset contains 295 complete KpSC chromosomal sequences and 2097 complete Enterobacteriaceae plasmid sequences.
DOI: 10.17632/2dvz4mfmw9
title: Geo-technical Investigation of Soil Properties in Hatsalatladi Village, Botswana

description: Dataset consists of gridded magnetic data which was obtained from the Botswana Geoscience Institute. Multichannel analysis of surface wave data (MASW) was acquired on there profiles in Hatsalatladi village with a 24-channel seismograph (RAS24 from Seistronix) in order to determine the stiffness of soil and other properties such as Poisson's Ratio, bulk modulus and Young's modulus. Soil tests involved sieve analysis, shrinkage limit, liquid and plastic limit measurements.
DOI: 10.17632/3n3wrw3vj7
title: OXIDATION-INDUCED DAMAGE OF BLOOD COAGULATION FACTOR XIII (FXIII): WHETHER ITS STRUCTURE IS ADAPTED TO OXIDATIVE ATTACK

description: Posttranslational modifications of amino acid residues observed in the study by mass spectrometry. Various modifications of specific amino acid residue, characterized by a certain mass, are shown. The total peak areas of the detected peptides are shown for all samples. Detected proteins in the samples noted by unique entry Uniprot database identifier.
DOI: 10.17632/btv2xpnv5x
title: Data for: A new 3.59 Ga magmatic suite and a chondritic source to the east Pilbara Craton

description: All data tables in an Excel format (.xlsx)
DOI: 10.17632/x4xvhpmmnd
title: Supplemental materials 24.12.20

description: Supplemental materials
DOI: 10.6084/m9.figshare.c.3662366_d797.v1
title: Full body CT scan of a Triakis semifasciata (ZMA.PISC.114250)

description: This file includes 2394 DICOM files of a female Triakis semifasciata specimen housed in the spirit collection of Naturalis Biodiversity Center, Leiden, the Netherlands with registrationnumber ZMA.PISC.114250. The specimen is scanned in a medical CT scanner (Toshiba Aquilion 64) at the Leiden University Medical Center, the Netherlands at 100 kV and 150 mAs with a slice thickness of 0.5 mm.
DOI: 10.17632/4pk726s9ts
title: Dye degradation kinetics of MB, AR and BG dyes by Pd-loaded Bi2O3 composite
DOI: 10.17632/f8p462hpmv
title: RSPHC CT-Scan Dataset

description: The RSPHC Dataset emerges from the radiology department of RSPHC Surabaya, a beacon of medical excellence serving over 1.5 million patients annually with a dedicated team of more than 115 medical professionals and 320 nursing staff. This dataset is a pivotal addition to medical research, offering a deep dive into chest radiographs of patients affected by COVID-19, as well as those without the infection.

The dataset is an extensive collection of 10,354 2D chest radiograph images, categorized into two primary groups:
- Images from patients diagnosed with COVID-19.
- Images from individuals without the infection (referred to as ‘normal’ individuals).
- Annotation Process: Initially, the dataset presented images without annotations. To address this, we utilized a pre-trained UNet model for automatic segmentation, creating precise annotations for each image.

A subset of the dataset underwent a rigorous validation process by radiologists at Airlangga University Hospital. This step was critical to ensure the accuracy of the annotations. Out of this process, 494 images—188 from COVID-19 patients and 306 from normal patients—received verified annotations, making them a reliable subset for further research.

The dataset is organized into several folders for ease of access and analysis:
- “images”: Contains the raw chest radiograph images.
- “masks”: Includes the corresponding masks for the images, highlighting regions of interest and potential abnormalities.
- “segmented images”: Features images with lung objects segmented out from the original radiographs, using the masks to focus on lung structures.
- “npy_images”, “npy_masks”, “npy_segmented images”: These folders contain the same data as above but in NumPy array format, a standard in machine learning for efficient data handling.

The RSPHC Dataset, with its validated annotations and structured format, is an invaluable asset for developing AI-driven diagnostic tools. It also enriches our understanding of the radiological characteristics of COVID-19 and other respiratory ailments, paving the way for advancements in medical imaging analysis.
DOI: 10.17632/zcfnvw2r78
title: Quantitative dataset (faith conversions in Sindh, Pakistan)

description: This is the raw data on the status of those non-Muslims that converted to Islam in Sindh over the past few decades. The sources, included conversion certificates, registers of the converts maintained by religious clerics, audio and video interviews, court judgements, petitions filed by neo converts against their parents, CNICs, Marriage certificates etc.  The data was gathered by Ghulam Hussain, Senior Research Officer at the Institute of Policy Studies (IPS), Islamabad.
Copyright @ Institute of Policy Studies Islamabad (IPS)
DOI: 10.6084/m9.figshare.11717676.v1
title: Data breast cancer study.xlsx

description: Cost of illness study estimating the household treatment cost of breast cancer in a tertiary health facility.